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publications [2020/07/20 17:49]
shyam [Journal papers and conference proceedings] 		publications [2020/07/20 18:02]
shyam [Journal papers and conference proceedings]
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 **84. Accelerating innovation in multidisciplinary scientific teams through visual analytics**. \\ **84. Accelerating innovation in multidisciplinary scientific teams through visual analytics**. \\
-//Bhavnani, SK, __Visweswaran, S__, Divekar, R//. \\+//Bhavnani SK, __Visweswaran S__, Divekar R//. \\
 In: Science of Team Science (SciTS) Conference. 2018 May 21-24. \\ In: Science of Team Science (SciTS) Conference. 2018 May 21-24. \\
 (//Outstanding Paper Award at the Science of Team Science (SciTS) Conference, 2018//) \\ (//Outstanding Paper Award at the Science of Team Science (SciTS) Conference, 2018//) \\
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 **83. A novel representation of vaccine efficacy trial datasets for use in computer simulation of vaccination policy**. \\ **83. A novel representation of vaccine efficacy trial datasets for use in computer simulation of vaccination policy**. \\
-//Tajgardoon, M, Wagner, MM, __Visweswaran, S__, Zimmerman, RK//. \\+//Tajgardoon M, Wagner MM, __Visweswaran S__, Zimmerman RK//. \\
 In: AMIA Informatics Summit Proceedings. 2018 Mar 12-15. \\ In: AMIA Informatics Summit Proceedings. 2018 Mar 12-15. \\
 (//Awarded First Place in the Student Paper Competition at the AMIA Informatics Summit Clinical Research Informatics, 2018//) \\ (//Awarded First Place in the Student Paper Competition at the AMIA Informatics Summit Clinical Research Informatics, 2018//) \\
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 **82. Fast causal inference with non-random missingness by test-wise deletion**. \\ **82. Fast causal inference with non-random missingness by test-wise deletion**. \\
-//Strobl, EV, __Visweswaran, S__, Spirtes, PL//. \\+//Strobl EV, __Visweswaran S__, Spirtes PL//. \\
 International Journal of Data Science and Analytics. 2018 Aug; 6(1):47-62. \\ International Journal of Data Science and Analytics. 2018 Aug; 6(1):47-62. \\
 ([[http://dx.doi.org/10.1007/s41060-017-0094-6|paper]]) ([[http://dx.doi.org/10.1007/s41060-017-0094-6|paper]])
  
 **81. Translational bioinformatics in mental health: Open access data sources and computational biomarker discovery**. \\ **81. Translational bioinformatics in mental health: Open access data sources and computational biomarker discovery**. \\
-//Tenenbaum, JD, Bhuvaneshwar, K, Gagliardi, JP, Hollis, KF, Jia, P, Ma, L, Nagarajan, R, Rakesh, G, Subbian, V, __Visweswaran, S__, Zhao, Z, Rozenblit, L//. \\+//Tenenbaum JD, Bhuvaneshwar K, Gagliardi JP, Hollis KF, Jia P, Ma L, Nagarajan R, Rakesh G, Subbian V, __Visweswaran S__, Zhao Z, Rozenblit L//. \\
 Briefings in Bioinformatics. 2019 May 21;20(3):842-856. \\ Briefings in Bioinformatics. 2019 May 21;20(3):842-856. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/29186302|abstract]]) ([[http://dx.doi.org/10.1093/bib/bbx157|paper]]) ([[http://www.ncbi.nlm.nih.gov/pubmed/29186302|abstract]]) ([[http://dx.doi.org/10.1093/bib/bbx157|paper]])
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 **79. Automated annotation and classification of BI-RADS assessment from radiology reports**. \\ **79. Automated annotation and classification of BI-RADS assessment from radiology reports**. \\
-//Castro, SM, Tseytlin, E, Medvedeva, O, Mitchell, K, __Visweswaran, S__, Bekhuis, T, Jacobson, RS//. \\+//Castro SM, Tseytlin E, Medvedeva O, Mitchell K, __Visweswaran S__, Bekhuis T, Jacobson RS//. \\
 Journal of Biomedical Informatics. 2017 May;69:177-187. \\ Journal of Biomedical Informatics. 2017 May;69:177-187. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/28428140|abstract]]) ([[http://dx.doi.org/10.1016/j.jbi.2017.04.011|paper]]) ([[http://www.ncbi.nlm.nih.gov/pubmed/28428140|abstract]]) ([[http://dx.doi.org/10.1016/j.jbi.2017.04.011|paper]])
  
 **78. The building blocks of interoperability: A multisite analysis of patient demographic attributes available for matching**. \\ **78. The building blocks of interoperability: A multisite analysis of patient demographic attributes available for matching**. \\
-//Culbertson, A, Goel, S, Madden, M, Safaeinili, N, Jackson, KL, Carton, T, Waitman, R, Liu, M, Krishnamurthy, A, Hall, L, Cappella, N, __Visweswaran, S__, Becich, MJ, Applegate, R, Bernstam, E, Rothman, R, Matheny, M, Lipori, G, Bian, J, Hogan, W, Bell, D, Martin, A, Grannis, S, Klann, J, Sutphen, R, O'Hara, AB, Kho, A//. \\+//Culbertson A, Goel S, Madden M, Safaeinili N, Jackson KL, Carton T, Waitman R, Liu M, Krishnamurthy A, Hall L, Cappella N, __Visweswaran S__, Becich MJ, Applegate R, Bernstam E, Rothman R, Matheny M, Lipori G, Bian J, Hogan W, Bell D, Martin A, Grannis S, Klann J, Sutphen R, O'Hara AB, Kho A//. \\
 Applied Clinical Informatics. 2017 Apr 5;8(2):322-336. \\ Applied Clinical Informatics. 2017 Apr 5;8(2):322-336. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/28378025|abstract]]) ([[http://dx.doi.org/10.4338/ACI-2016-11-RA-0196|paper]]) ([[http://www.ncbi.nlm.nih.gov/pubmed/28378025|abstract]]) ([[http://dx.doi.org/10.4338/ACI-2016-11-RA-0196|paper]])
  
 **77. Enabling comprehension of patient subgroups and characteristics in large bipartite networks: Implications for precision medicine**. \\ **77. Enabling comprehension of patient subgroups and characteristics in large bipartite networks: Implications for precision medicine**. \\
-//Bhavnani, SK, Chen, T, Ayyaswamy, A, __Visweswaran, S__, Bellala, G, Divekar, R, Bassler, KE//. \\+//Bhavnani SK, Chen T, Ayyaswamy A, __Visweswaran S__, Bellala G, Divekar R, Bassler KE//. \\
 In: AMIA Joint Summits Translational Science Proceedings. 2017 Mar 27-30; 2017:21-29. \\ In: AMIA Joint Summits Translational Science Proceedings. 2017 Mar 27-30; 2017:21-29. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/28815099|abstract]]) ({{papers:2017_enabling_comprehension_of_patient_subgroups_and_characteristics_in_large_bipartite_networks_implications_for_precision_medicine.pdf|paper}}) ([[http://www.ncbi.nlm.nih.gov/pubmed/28815099|abstract]]) ({{papers:2017_enabling_comprehension_of_patient_subgroups_and_characteristics_in_large_bipartite_networks_implications_for_precision_medicine.pdf|paper}})
  
 **76. Eye-tracking for clinical decision support: A method to capture automatically what physicians are viewing in the EMR**. \\ **76. Eye-tracking for clinical decision support: A method to capture automatically what physicians are viewing in the EMR**. \\
-//King, AJ, Hochheiser, H, __Visweswaran, S__, Clermont, G, Cooper, GF//. \\+//King AJ, Hochheiser H, __Visweswaran S__, Clermont G, Cooper GF//. \\
 In: AMIA Joint Summits Translational Science Proceedings. 2017 Mar 27-30; 2017:512-21. \\ In: AMIA Joint Summits Translational Science Proceedings. 2017 Mar 27-30; 2017:512-21. \\
 (//Awarded First Place in the Student Paper Competition at the AMIA Joint Summits Clinical Research Informatics, 2017//) \\ (//Awarded First Place in the Student Paper Competition at the AMIA Joint Summits Clinical Research Informatics, 2017//) \\
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 **75. Learning parsimonious classification rules from gene expression data using Bayesian networks with local structure**. \\ **75. Learning parsimonious classification rules from gene expression data using Bayesian networks with local structure**. \\
-//Lustgarten, JL, Balasubramanian, JB, __Visweswaran, S__, Gopalakrishnan, V//. \\+//Lustgarten JL, Balasubramanian JB, __Visweswaran S__, Gopalakrishnan V//. \\
 Data. 2017 Mar;2(1). \\ Data. 2017 Mar;2(1). \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/27720983|abstract]]) ([[http://dx.doi.org/10.3390/data2010005|paper]]) ([[http://www.ncbi.nlm.nih.gov/pubmed/27720983|abstract]]) ([[http://dx.doi.org/10.3390/data2010005|paper]])
  
 **74. Outlier-based detection of unusual patient-management actions: An ICU study**. \\ **74. Outlier-based detection of unusual patient-management actions: An ICU study**. \\
-//Hauskrecht, M, Batal, I, Hong, C, Cooper, GF, __Viswewaran, S__, Clermont, G//. \\+//Hauskrecht M, Batal I, Hong C, Cooper GF, __Viswewaran S__, Clermont G//. \\
 Journal of Biomedical Informatics. 2016 Dec;64:211-221. \\ Journal of Biomedical Informatics. 2016 Dec;64:211-221. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/28331847|abstract]]) ([[http://doi.org/10.1016/j.jbi.2016.10.002|paper]]) ([[http://www.ncbi.nlm.nih.gov/pubmed/28331847|abstract]]) ([[http://doi.org/10.1016/j.jbi.2016.10.002|paper]])
  
 **73. An informatics research agenda to support precision medicine: 7 key areas**. \\ **73. An informatics research agenda to support precision medicine: 7 key areas**. \\
-//Tenenbaum, JD, Avillach, P, Benham-Hutchins, M, Breitenstein, MK, Crowgey, EL, Hoffman, MA, Jiang, X, Madhavan, S, Mattison, JE, Radhakrishnan, N, Ray, B, Shin, D, __Visweswaran, S__, Zhao, Z, Freimuth, RR//. \\+//Tenenbaum JD, Avillach P, Benham-Hutchins M, Breitenstein MK, Crowgey EL, Hoffman MA, Jiang X, Madhavan S, Mattison JE, Radhakrishnan N, Ray B, Shin D, __Visweswaran S__, Zhao Z, Freimuth RR//. \\
 Journal of the American Medical Informatics Association. 2016 Jul;23(4):791-5. \\ Journal of the American Medical Informatics Association. 2016 Jul;23(4):791-5. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/27107452|abstract]]) ({{papers:2016_an_informatics_research_agenda_to_support_precision_medicine_seven_key_areas.pdf|paper}}) ([[http://www.ncbi.nlm.nih.gov/pubmed/27107452|abstract]]) ({{papers:2016_an_informatics_research_agenda_to_support_precision_medicine_seven_key_areas.pdf|paper}})
  
 **72. On predicting lung cancer subtypes using ‘omic’data from tumor and tumor-adjacent histologically-normal tissue**. \\ **72. On predicting lung cancer subtypes using ‘omic’data from tumor and tumor-adjacent histologically-normal tissue**. \\
-//Pineda, AL, Ogoe, HA, Balasubramanian, JB, Escareño, CR, __Visweswaran, S__, Herman, JG, Gopalakrishnan, V//. \\+//Pineda AL, Ogoe HA, Balasubramanian JB, Escareño CR, __Visweswaran S__, Herman JG, Gopalakrishnan V//. \\
 BMC Cancer. 2016 Mar 4;16(1):184. \\ BMC Cancer. 2016 Mar 4;16(1):184. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/26944944|abstract]]) ({{papers:2016_on_predicting_lung_cancer_subtypes_using_omic_data_from_tumor_and_tumor-adjacent_histologically-normal_tissue.pdf|paper}}) ([[http://www.ncbi.nlm.nih.gov/pubmed/26944944|abstract]]) ({{papers:2016_on_predicting_lung_cancer_subtypes_using_omic_data_from_tumor_and_tumor-adjacent_histologically-normal_tissue.pdf|paper}})
  
 **71. Markov boundary discovery with ridge regularized linear models**. \\ **71. Markov boundary discovery with ridge regularized linear models**. \\
-//Strobl, EV, __Visweswaran, S__//. \\+//Strobl EV, __Visweswaran S__//. \\
 Journal of Causal Inference. 2016 Mar; 4(1):31-48. \\ Journal of Causal Inference. 2016 Mar; 4(1):31-48. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/27170915|abstract]]) ({{papers:2016_markov_boundary_discovery_with_ridge_regularized_linear_models.pdf|paper}}) ([[http://www.ncbi.nlm.nih.gov/pubmed/27170915|abstract]]) ({{papers:2016_markov_boundary_discovery_with_ridge_regularized_linear_models.pdf|paper}})
  
 **70. Development and preliminary evaluation of a prototype of a learning electronic medical record system**. \\ **70. Development and preliminary evaluation of a prototype of a learning electronic medical record system**. \\
-//King, AJ, Cooper, GF, Hochheiser, H, Clermont, G, __Visweswaran, S__//. \\+//King AJ, Cooper GF, Hochheiser H, Clermont G, __Visweswaran S__//. \\
 In: AMIA Annual Symposium Proceedings. 2015 Nov 17; 2015:1967-75. \\ In: AMIA Annual Symposium Proceedings. 2015 Nov 17; 2015:1967-75. \\
 (//Awarded First Place in the Student Paper Competition at the AMIA Annual Symposium, 2015//) \\ (//Awarded First Place in the Student Paper Competition at the AMIA Annual Symposium, 2015//) \\
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 **69. Comparison of machine learning classifiers for influenza detection from emergency department free text reports**. \\ **69. Comparison of machine learning classifiers for influenza detection from emergency department free text reports**. \\
-//Pineda, AL, Ye, Y, __Visweswaran, S__, Cooper, GF, Wagner, MM, Tsui, FC//. \\+//Pineda AL, Ye Y, __Visweswaran S__, Cooper GF, Wagner MM, Tsui FC//. \\
 Journal of Biomedical Informatics. 2015 Sep 16. pii: S1532-0464(15)00187-2. \\ Journal of Biomedical Informatics. 2015 Sep 16. pii: S1532-0464(15)00187-2. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/26385375|abstract]]) ({{papers:2015_comparison_of_machine_learning_classifiers_for_influenza_detection_from_emergency_department_free-text_reports.pdf|paper}}) ([[http://www.ncbi.nlm.nih.gov/pubmed/26385375|abstract]]) ({{papers:2015_comparison_of_machine_learning_classifiers_for_influenza_detection_from_emergency_department_free-text_reports.pdf|paper}})
  
 **68. Knowledge transfer via classification rules using functional mapping for integrative modeling of gene expression data**. \\ **68. Knowledge transfer via classification rules using functional mapping for integrative modeling of gene expression data**. \\
-//Ogoe, HA, __Visweswaran, S__, Lu, X, Gopalakrishnan, V//. \\+//Ogoe HA, __Visweswaran S__, Lu X, Gopalakrishnan V//. \\
 BMC Bioinformatics. 2015 Jul 23; 16:226. \\ BMC Bioinformatics. 2015 Jul 23; 16:226. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/26202217|abstract]]) ({{papers:2015_knowledge_transfer_via_classification_rules_using_functional_mapping_for_integrative_modeling_of_gene_expression_data.pdf|paper}}) ([[http://www.ncbi.nlm.nih.gov/pubmed/26202217|abstract]]) ({{papers:2015_knowledge_transfer_via_classification_rules_using_functional_mapping_for_integrative_modeling_of_gene_expression_data.pdf|paper}})
  
 **67. Patient-specific modeling of medical data**. \\ **67. Patient-specific modeling of medical data**. \\
-//Ribeiro, GAS, Oliveira, ACM, Ferreira, ALS, __Visweswaran, S__, Cooper, GF//. \\+//Ribeiro GAS, Oliveira ACM, Ferreira ALS, __Visweswaran S__, Cooper GF//. \\
 In: Proceedings of the Machine Learning and Data Mining in Pattern Recognition: 11th International Conference, MLDM 2015. Hamburg, Germany, Jul 20-21, 2015. \\ In: Proceedings of the Machine Learning and Data Mining in Pattern Recognition: 11th International Conference, MLDM 2015. Hamburg, Germany, Jul 20-21, 2015. \\
 ({{papers:2015_patient-specific_modeling_of_medical_data.pdf|paper}}) ({{papers:2015_patient-specific_modeling_of_medical_data.pdf|paper}})
  
 **66. Personalized modeling for prediction with decision-path models**. \\ **66. Personalized modeling for prediction with decision-path models**. \\
-//__Visweswaran, S__, Ferreira, A, Cooper, GF//. \\+//__Visweswaran S__, Ferreira A, Cooper, GF//. \\
 PLoS One. 2015 Jun 22;10(6):e0131022. \\ PLoS One. 2015 Jun 22;10(6):e0131022. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/26098570|abstract]]) ({{papers:2015_personalized_modeling_for_prediction_with_decision-path_models.pdf|paper}}) ([[http://www.ncbi.nlm.nih.gov/pubmed/26098570|abstract]]) ({{papers:2015_personalized_modeling_for_prediction_with_decision-path_models.pdf|paper}})
  
 **65. KNGP: A network-based gene prioritization algorithm that incorporates multiple sources of knowledge**. \\ **65. KNGP: A network-based gene prioritization algorithm that incorporates multiple sources of knowledge**. \\
-//Kimmel, C, __Visweswaran, S__//. \\+//Kimmel C, __Visweswaran S__//. \\
 American Journal of Bioinformatics and Computational Biology. 2015 Apr 25; 3(1):1-4. \\ American Journal of Bioinformatics and Computational Biology. 2015 Apr 25; 3(1):1-4. \\
 ({{papers:2015_kngp_a_network-based_gene_prioritization_algorithm_that_incorporates_multiple_sources_of_knowledge.pdf|paper}}) ({{papers:2015_kngp_a_network-based_gene_prioritization_algorithm_that_incorporates_multiple_sources_of_knowledge.pdf|paper}})
  
 **64. How comorbidities co-occur in readmitted hip fracture patients: From bipartite networks to insights for post-discharge planning**. \\ **64. How comorbidities co-occur in readmitted hip fracture patients: From bipartite networks to insights for post-discharge planning**. \\
-//Bhavnani, SK, Bryant, D, __Visweswaran, S__, Divekar, R, Karmarkar, A, Ottenbacher, K//. \\+//Bhavnani SK, Bryant D, __Visweswaran S__, Divekar R, Karmarkar A, Ottenbacher K//. \\
 In: AMIA Joint Summits Translational Science Proceedings. 2015 Mar 23; 2015. \\ In: AMIA Joint Summits Translational Science Proceedings. 2015 Mar 23; 2015. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/26306228|abstract]]) ({{papers:2015_how_comorbidities_co-occur_in_readmitted_hip_fracture_patients_from_bipartite_networks_to_insights_for_post-discharge_planning.pdf|paper}}) ([[http://www.ncbi.nlm.nih.gov/pubmed/26306228|abstract]]) ({{papers:2015_how_comorbidities_co-occur_in_readmitted_hip_fracture_patients_from_bipartite_networks_to_insights_for_post-discharge_planning.pdf|paper}})
  
 **63. Unlocking proteomic heterogeneity in complex diseases through visual analytics**. \\ **63. Unlocking proteomic heterogeneity in complex diseases through visual analytics**. \\
-//Bhavnani, SK, Dang, B, Bellala, G, Divekar, R, __Visweswaran, S__, Brasier, A, Kurosky, A//. \\+//Bhavnani SK, Dang B, Bellala G, Divekar R, __Visweswaran S__, Brasier A, Kurosky A//. \\
 Proteomics. 2015 Feb 13; 15(8):1405-18. \\ Proteomics. 2015 Feb 13; 15(8):1405-18. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/25684269|abstract]]) ({{papers:2015_unlocking_proteomic_heterogeneity_in_complex_diseases_through_visual_analytics.pdf|paper}}) ([[http://www.ncbi.nlm.nih.gov/pubmed/25684269|abstract]]) ({{papers:2015_unlocking_proteomic_heterogeneity_in_complex_diseases_through_visual_analytics.pdf|paper}})
  
 **62. Identifying genetic interactions associated with late-onset Alzheimer's disease**. \\ **62. Identifying genetic interactions associated with late-onset Alzheimer's disease**. \\
-//Floudas, CS, Kamboh, MI, Barmada, MM, __Visweswaran S__//. \\+//Floudas CS, Kamboh MI, Barmada MM, __Visweswaran S__//. \\
 BioData Mining. 2014 Dec 19; 7(1):35. \\ BioData Mining. 2014 Dec 19; 7(1):35. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/25649863|abstract]]) ({{papers:2014_identifying_genetic_interactions_associated_with_late-onset_alzheimers_disease.pdf|paper}}) \\ ([[http://www.ncbi.nlm.nih.gov/pubmed/25649863|abstract]]) ({{papers:2014_identifying_genetic_interactions_associated_with_late-onset_alzheimers_disease.pdf|paper}}) \\
  
 **61. Semi-automated literature mining to identify putative biomarkers of disease from multiple biofluids**. \\ **61. Semi-automated literature mining to identify putative biomarkers of disease from multiple biofluids**. \\
-//Jordan, R, __Visweswaran S__, Gopalakrishnan, V//. \\+//Jordan R, __Visweswaran S__, Gopalakrishnan V//. \\
 Journal of Clinical Bioinformatics. 2014 Oct 23;4:13. \\ Journal of Clinical Bioinformatics. 2014 Oct 23;4:13. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/25379168|abstract]]) ({{papers:2014_semi-automated_literature_mining_to_identify_putative_biomarkers_of_disease_from_multiple_biofluids.pdf|paper}}) ([[http://www.ncbi.nlm.nih.gov/pubmed/25379168|abstract]]) ({{papers:2014_semi-automated_literature_mining_to_identify_putative_biomarkers_of_disease_from_multiple_biofluids.pdf|paper}})
  
 **60. Evaluation of a four-protein biomarker panel for detection of esophageal adenocarcinoma**. \\ **60. Evaluation of a four-protein biomarker panel for detection of esophageal adenocarcinoma**. \\
-//Zaidi, AH, Gopalakrishnan, V, Kasi, PM, Malhotra, U, Balasubramanian, J, __Visweswaran S__, Zeng, X, Sun, M, Bergman, JJ, Bigbee, WL, Jobe, BA//. \\+//Zaidi AH, Gopalakrishnan V, Kasi PM, Malhotra U, Balasubramanian J, __Visweswaran S__, Zeng X, Sun M, Bergman JJ, Bigbee WL, Jobe BA//. \\
 Cancer. 2014 Dec 15; 120(24):3902-13. \\ Cancer. 2014 Dec 15; 120(24):3902-13. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/25100294|abstract]]) ({{papers:2014_evaluation_of_a_four-protein_biomarker_panel_for_detection_of_esophageal_adenocarcinoma.pdf|paper}}) ([[http://www.ncbi.nlm.nih.gov/pubmed/25100294|abstract]]) ({{papers:2014_evaluation_of_a_four-protein_biomarker_panel_for_detection_of_esophageal_adenocarcinoma.pdf|paper}})
  
 **59. Informative Bayesian Model Selection: A method for identifying interactions in genome-wide data**. \\ **59. Informative Bayesian Model Selection: A method for identifying interactions in genome-wide data**. \\
-//Aflakparast, M, Masoudi-Nejad, A, Bozorgmehr, JH, __Visweswaran S__//. \\+//Aflakparast M, Masoudi-Nejad A, Bozorgmehr JH, __Visweswaran S__//. \\
 Molecular BioSystems, 2014 Aug;10(10):2654-62. \\ Molecular BioSystems, 2014 Aug;10(10):2654-62. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/25070634|abstract]]) ({{papers:2014_informative_bayesian_model_selection_a_method_for_identifying_interactions_in_genome-wide_data.pdf|paper}}) ([[http://www.ncbi.nlm.nih.gov/pubmed/25070634|abstract]]) ({{papers:2014_informative_bayesian_model_selection_a_method_for_identifying_interactions_in_genome-wide_data.pdf|paper}})
  
 **58. Dependence versus conditional dependence in local causal discovery from gene expression data**. \\ **58. Dependence versus conditional dependence in local causal discovery from gene expression data**. \\
-//Strobl, EV, __Visweswaran, S__//. \\+//Strobl EV, __Visweswaran S__//. \\
 arXiv preprint arXiv:1407.7566, 2014. \\ arXiv preprint arXiv:1407.7566, 2014. \\
 ([[https://arxiv.org/abs/1407.7566|abstract & paper]]) ([[https://arxiv.org/abs/1407.7566|abstract & paper]])
  
 **57. Cuckoo search epistasis: A new method for exploring significant genetic interactions**. \\ **57. Cuckoo search epistasis: A new method for exploring significant genetic interactions**. \\
-//Aflakparast, M, Salimi, H, Gerami, A, Dube, M-P, __Visweswaran S__, Masoudi-Nejad, A//. \\+//Aflakparast M, Salimi H, Gerami A, Dube M-P, __Visweswaran S__, Masoudi-Nejad A//. \\
 Heredity. 2014 Jun;112(6):666-74. \\ Heredity. 2014 Jun;112(6):666-74. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/24549111|abstract]]) ({{papers:2014_cuckoo_search_epistasis_a_new_method_for_exploring_significant_genetic_interactions.pdf|paper}}) ([[http://www.ncbi.nlm.nih.gov/pubmed/24549111|abstract]]) ({{papers:2014_cuckoo_search_epistasis_a_new_method_for_exploring_significant_genetic_interactions.pdf|paper}})
  
 **56. Counting Markov blankets**. \\ **56. Counting Markov blankets**. \\
-//__Visweswaran, S__, Cooper, GF//. \\+//__Visweswaran S__, Cooper GF//. \\
 arXiv preprint arXiv:1407.2483, 2014. \\ arXiv preprint arXiv:1407.2483, 2014. \\
 ([[https://arxiv.org/abs/1407.2483|abstract & paper]]) ([[https://arxiv.org/abs/1407.2483|abstract & paper]])
  
 **55. The application of network label propagation to rank biomarkers in genome-wide Alzheimer's data**. \\ **55. The application of network label propagation to rank biomarkers in genome-wide Alzheimer's data**. \\
-//Stokes, ME, Barmada, MM, Kamboh, MI, __Visweswaran S__//. \\+//Stokes ME, Barmada MM, Kamboh MI, __Visweswaran S__//. \\
 BMC Genomics. 2014 Apr 14;15(1):282. \\ BMC Genomics. 2014 Apr 14;15(1):282. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/24731236|abstract]]) ({{papers:2014_the_application_of_network_label_propagation_to_rank_biomarkers_in_genome-wide_alzheimers_data.pdf|abstract}}) \\ ([[http://www.ncbi.nlm.nih.gov/pubmed/24731236|abstract]]) ({{papers:2014_the_application_of_network_label_propagation_to_rank_biomarkers_in_genome-wide_alzheimers_data.pdf|abstract}}) \\
  
 **54. Selective model averaging with Bayesian rule learning for predictive biomedicine**. \\ **54. Selective model averaging with Bayesian rule learning for predictive biomedicine**. \\
-//Balasubramanian, JB, __Visweswaran S__, Cooper, GF, Gopalakrishnan, V//. \\+//Balasubramanian JB, __Visweswaran S__, Cooper GF, Gopalakrishnan V//. \\
 In: AMIA Joint Summits Translational Science Proceedings. 2014 Apr 7; 2014:17-22. \\ In: AMIA Joint Summits Translational Science Proceedings. 2014 Apr 7; 2014:17-22. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/25717394|abstract]]) ({{papers:2014_selective_model_averaging_with_bayesian_rule_learning_for_predictive_biomedicine.pdf|paper}}) ([[http://www.ncbi.nlm.nih.gov/pubmed/25717394|abstract]]) ({{papers:2014_selective_model_averaging_with_bayesian_rule_learning_for_predictive_biomedicine.pdf|paper}})
  
 **53. Heterogeneity within and across pediatric pulmonary infections: From bipartite networks to at-risk subphenotypes**. \\ **53. Heterogeneity within and across pediatric pulmonary infections: From bipartite networks to at-risk subphenotypes**. \\
-//Bhavnani, SK, Dang, B, Caro, M, Bellala, G, __Visweswaran S__, Asuncion, M, Divekar, R//. \\+//Bhavnani SK, Dang B, Caro M, Bellala G, __Visweswaran S__, Asuncion M, Divekar R//. \\
 In: AMIA Joint Summits Translational Science Proceedings (Apr 2014). 2014 Apr 7; 2014:29-34. \\ In: AMIA Joint Summits Translational Science Proceedings (Apr 2014). 2014 Apr 7; 2014:29-34. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/25717396|abstract]]) ({{papers:2014_heterogeneity_within_and_across_pediatric_pulmonary_infections_from_bipartite_networks_to_at-risk_subphenotypes.pdf|paper}}) ([[http://www.ncbi.nlm.nih.gov/pubmed/25717396|abstract]]) ({{papers:2014_heterogeneity_within_and_across_pediatric_pulmonary_infections_from_bipartite_networks_to_at-risk_subphenotypes.pdf|paper}})
  
 **52. Markov blanket discovery using kernel-based conditional dependence measures**. \\ **52. Markov blanket discovery using kernel-based conditional dependence measures**. \\
-//Strobl, EV, __Visweswaran, S__//. \\+//Strobl EV, __Visweswaran S__//. \\
 In: Proceedings of the NIPS 2013 Workshop on Causality, Lake Tahoe, NV. 2013 Dec. In: Proceedings of the NIPS 2013 Workshop on Causality, Lake Tahoe, NV. 2013 Dec.
  
 **51. Deep multiple kernel learning**. \\ **51. Deep multiple kernel learning**. \\
-//Strobl, EV, __Visweswaran, S__//. \\+//Strobl EV, __Visweswaran S__//. \\
 In: Proceedings of the 12th International Conference on Machine Learning and Applications (ICMLA'13). 2013 Dec 4; 2013:414-17. In: Proceedings of the 12th International Conference on Machine Learning and Applications (ICMLA'13). 2013 Dec 4; 2013:414-17.
  
 **50. An algorithm for network-based gene prioritization that encodes knowledge both in nodes and in links**. \\ **50. An algorithm for network-based gene prioritization that encodes knowledge both in nodes and in links**. \\
-//Kimmel, C, __Visweswaran, S__//. \\+//Kimmel C, __Visweswaran S__//. \\
 PLoS One. 2013 Nov 19; 8(11):e79564. PLoS One. 2013 Nov 19; 8(11):e79564.
  
 **49. Data-driven identification of unusual clinical actions in the ICU**. \\ **49. Data-driven identification of unusual clinical actions in the ICU**. \\
-//Hauskrecht, M, __Visweswaran, S__, Cooper, GF, Clermont, G//. \\+//Hauskrecht M, __Visweswaran S__, Cooper GF, Clermont G//. \\
 In: AMIA Annual Symposium Proceedings. 2013 Nov 16; 2013. In: AMIA Annual Symposium Proceedings. 2013 Nov 16; 2013.
  
 **48. Decision path models for patient-specific modeling of patient outcomes**. \\ **48. Decision path models for patient-specific modeling of patient outcomes**. \\
-//Ferreira, A, Cooper, GF, __Visweswaran, S__//. \\+//Ferreira A, Cooper GF, __Visweswaran S__//. \\
 In: AMIA Annual Symposium Proceedings. 2013 Nov 16; 2013:413-21. In: AMIA Annual Symposium Proceedings. 2013 Nov 16; 2013:413-21.
  
 **47. Conditional outlier approach for detection of unusual patient care actions**. \\ **47. Conditional outlier approach for detection of unusual patient care actions**. \\
-//Hauskrecht, M, __Visweswaran, S__, Cooper, GF, Clermont, G//. \\+//Hauskrecht M, __Visweswaran S__, Cooper GF, Clermont G//. \\
 In: Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence. 2013 Jul 14; 2013. In: Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence. 2013 Jul 14; 2013.
  
 **46. Detection of patients with influenza syndrome using machine-learning models learned from Emergency Department reports**. \\ **46. Detection of patients with influenza syndrome using machine-learning models learned from Emergency Department reports**. \\
-//Pineda AL, Tsui FC, __Visweswaran, S__, Cooper GF//. \\+//Pineda AL, Tsui FC, __Visweswaran S__, Cooper GF//. \\
 Online Journal of Public Health Informatics. 2013 Apr 4; 5(1):e41. Online Journal of Public Health Informatics. 2013 Apr 4; 5(1):e41.
  
 **45. How cytokines co-occur across rickettsioses patients: From bipartite visual analytics to mechanistic inferences of a cytokine storm**. \\ **45. How cytokines co-occur across rickettsioses patients: From bipartite visual analytics to mechanistic inferences of a cytokine storm**. \\
-//Bhavnani, SK, Drake, J, Bellala, G, Dang, B, Peng, B, Oteo, JA, Santibañez-Saenz, P, __Visweswaran, S__, Olano, JP//. \\+//Bhavnani SK, Drake, J, Bellala G, Dang B, Peng B, Oteo JA, Santibañez-Saenz P, __Visweswaran S__, Olano JP//. \\
 In: AMIA Joint Summits Translational Science Proceedings. 2013 Mar 18; 2013:15-9. In: AMIA Joint Summits Translational Science Proceedings. 2013 Mar 18; 2013:15-9.
  
 **44. Noninvasive predictors of subdural grid seizure localization in children with nonlesional focal epilepsy**.  \\ **44. Noninvasive predictors of subdural grid seizure localization in children with nonlesional focal epilepsy**.  \\
-//Kalamangalam, GP, Pestana Knight, EM, __Visweswaran, S__, Gupta, A//. \\+//Kalamangalam GP, Pestana Knight EM, __Visweswaran S__, Gupta A//. \\
 Journal of Clinical Neurophysiology. 2013 Feb; 30(1):45-50. Journal of Clinical Neurophysiology. 2013 Feb; 30(1):45-50.
  
 **43. Outlier detection for patient monitoring and alerting**. \\ **43. Outlier detection for patient monitoring and alerting**. \\
-//Hauskrecht, M, Batal, I, Valko, M, __Visweswaran, S__, Cooper, GF, Clermont, G//. \\+//Hauskrecht M, Batal I, Valko M, __Visweswaran S__, Cooper GF, Clermont G//. \\
 Journal of Biomedical Informatics. 2013 Feb; 46(1):47-55. Journal of Biomedical Informatics. 2013 Feb; 46(1):47-55.
  
 **42. Application of a spatially-weighed Relief algorithm for ranking genetic predictors of disease**. \\ **42. Application of a spatially-weighed Relief algorithm for ranking genetic predictors of disease**. \\
-//Stokes, M, __Visweswaran, S__//. \\+//Stokes M, __Visweswaran S__//. \\
 BioData Mining. 2012 Dec 3; 5(1):20. BioData Mining. 2012 Dec 3; 5(1):20.
  
 **41. Predicting the risk of psychosis onset: Advances and prospects**. \\ **41. Predicting the risk of psychosis onset: Advances and prospects**. \\
-//Strobl, EV, Eack, SM, Swaminathan, V, __Visweswaran, S__//. \\+//Strobl EV, Eack SM, Swaminathan V, __Visweswaran S__//. \\
 Early Intervention in Psychiatry. 2012 Nov;6(4):368-79. Early Intervention in Psychiatry. 2012 Nov;6(4):368-79.
  
 **40. The role of complementary bipartite visual analytical representations in the analysis of SNPs: A case study in ancestral informative markers**. \\ **40. The role of complementary bipartite visual analytical representations in the analysis of SNPs: A case study in ancestral informative markers**. \\
-//Bhavnani, SK, Bellala, G, Victor, S, Bassler, K, __Visweswaran, S__//. \\+//Bhavnani SK, Bellala G, Victor S, Bassler K, __Visweswaran S__//. \\
 Journal of the American Medical Informatics Association. 2012 Jun 1; 19(e1):e5-e12. Journal of the American Medical Informatics Association. 2012 Jun 1; 19(e1):e5-e12.
  
 **39. Building an automated SOAP classifier for emergency department reports**. \\ **39. Building an automated SOAP classifier for emergency department reports**. \\
-//Mowery, D, Weibe, J, __Visweswaran, S__, Harkema, H, Chapman, WW//. \\+//Mowery D, Weibe J, __Visweswaran S__, Harkema H, Chapman WW//. \\
 Journal of Biomedical Informatics. 2012 Feb; 45(1):71-81. Journal of Biomedical Informatics. 2012 Feb; 45(1):71-81.
  
 **38. A multivariate probabilistic method for comparing two clinical datasets**. \\ **38. A multivariate probabilistic method for comparing two clinical datasets**. \\
-//Sverchkov, Y, __Visweswaran, S__, Clermont, G, Hauskrecht, M, Cooper, GF//. \\+//Sverchkov Y, __Visweswaran S__, Clermont G, Hauskrecht M, Cooper GF//. \\
 In: Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium. 2012 Jan 28; 2012:795-800. In: Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium. 2012 Jan 28; 2012:795-800.
  
 **37. Application of an efficient Bayesian discretization method to biomedical data**. \\ **37. Application of an efficient Bayesian discretization method to biomedical data**. \\
-//Lustgarten, JL*, __Visweswaran, S__*, Gopalakrishnan, V, Cooper, GF//. *Co-first authors \\+//Lustgarten JL*, __Visweswaran S__*, Gopalakrishnan V, Cooper GF//. *Co-first authors \\
 BMC Bioinformatics. 2011 Jul 28; 12:309. BMC Bioinformatics. 2011 Jul 28; 12:309.
  
 **36. Computerized detection of adverse drug reactions in the medical intensive care unit**. \\ **36. Computerized detection of adverse drug reactions in the medical intensive care unit**. \\
-//Kane-Gill, SL, __Visweswaran, S__, Saul, MI, Wong, AI, Penrod, L, Handler, SM//. \\+//Kane-Gill SL, __Visweswaran S__, Saul MI, Wong AI, Penrod L, Handler SM//. \\
 International Journal of Medical Informatics. 2011 Aug; 80(8):570-8. International Journal of Medical Informatics. 2011 Aug; 80(8):570-8.
  
 **35. The application of naive Bayes model averaging to predict Alzheimer’s disease from genome-wide data**. \\ **35. The application of naive Bayes model averaging to predict Alzheimer’s disease from genome-wide data**. \\
-//Wei, W, __Visweswaran, S__, Cooper, GF//. \\+//Wei W, __Visweswaran S__, Cooper GF//. \\
 Journal of the American Medical Informatics Association. 2011 Jul-Aug; 18(4):370-5. Journal of the American Medical Informatics Association. 2011 Jul-Aug; 18(4):370-5.
  
 **34. Identifying interacting environmental factor – gene pairs**. \\ **34. Identifying interacting environmental factor – gene pairs**. \\
-//Kimmel, C, Lustgarten, J, Handler, SM, Wong, AI, __Visweswaran, S__//. \\+//Kimmel C, Lustgarten J, Handler SM, Wong AI, __Visweswaran S__//. \\
 In: Proceedings of the 5th International Symposium on Bio- and Medical Informatics and Cybernetics (BMIC 2011). 2011 Jul 19; 2011. In: Proceedings of the 5th International Symposium on Bio- and Medical Informatics and Cybernetics (BMIC 2011). 2011 Jul 19; 2011.
  
 **33. Learning genetic epistasis using Bayesian network scoring criteria**. \\ **33. Learning genetic epistasis using Bayesian network scoring criteria**. \\
-//Jiang, X, Neapolitan, RE, Barmada, MM, __Visweswaran, S__//. \\+//Jiang X, Neapolitan RE, Barmada MM, __Visweswaran S__//. \\
 BMC Bioinformatics. 2011 Mar 31; 12:89. BMC Bioinformatics. 2011 Mar 31; 12:89.
  
 **32. Learning instance-specific predictive models**. \\ **32. Learning instance-specific predictive models**. \\
-//__Visweswaran, S__, Cooper, GF//. \\+//__Visweswaran S__, Cooper GF//. \\
 Journal of Machine Learning Research. 2010 Dec 1; 11:3369-3405. \\ Journal of Machine Learning Research. 2010 Dec 1; 11:3369-3405. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/25045325|abstract]]) ([[http://www.ncbi.nlm.nih.gov/pubmed/25045325|abstract]])
  
 **31. Identifying deviations from usual medical care using a statistical approach**. **31. Identifying deviations from usual medical care using a statistical approach**.
-//__Visweswaran, S__, Mezger, J, Clermont, G, Hauskrecht, M, Cooper, GF//. \\+//__Visweswaran S__, Mezger J, Clermont G, Hauskrecht M, Cooper GF//. \\
 In: AMIA Annual Symposium Proceedings. 2010 Nov 13; 2010:827-31. \\ In: AMIA Annual Symposium Proceedings. 2010 Nov 13; 2010:827-31. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/21347094|abstract]]) ([[http://www.ncbi.nlm.nih.gov/pubmed/21347094|abstract]])