Vanathi Gopalakrishnan, PhD

Balasubramanian JB, Cooper GF, Visweswaran S, Gopalakrishnan V. Selective Model Averaging with Bayesian Rule Learning for Predictive Biomedicine. Proceedings of the AMIA 2014 Joint Summits in Translational Science (In Press); April 2014; San Francisco, CA, USA2014.

Menon PG, Morris L, Staines M, Lima J, Lee DC, Gopalakrishnan V. Novel MRI-derived quantitative biomarker for cardiac function applied to classifying ischemic cardiomyopathy within a Bayesian rule learning framework. Proceedings of the SPIE Medical Imaging 2014; February 15-20, 2014; San Diego, CA, USA. 2014.

Avali VR, Cooper GF, Gopalakrishnan V. Application of Bayesian logistic regression to mining biomedical data. In: Proceedings of the Fall Symposium of the American Medical Informatics Association (2014) Nov 14;2014:266-73. PMID: 25954328 PMC4419893

Dutta-Moscato J, Gopalakrishnan V, Lotze MT, Becich MJ. Creating a Pipeline of Talent for Informatics: STEM Initiative for High School Students in Computer Science, Biology and Biomedical Informatics (CoSBBI). Journal of Pathology Informatics. 2014; In Press. PMC In Process.

McMillan A, Visweswaran S, Gopalakrishnan V. Machine Learning for Biomarker-based Classification of Alzheimer's Disease Progression Journal of Pathology Informatics. 2014; In Press.

Staines M, Morris L, Menon PG, Lima J, Lee DC, Gopalakrishnan V. Discovering Biomarkers for Cardiovascular Disease Using Rule Learning. Journal of Pathology Informatics. 2014; In Press.

Gopalakrishnan V, Menon PG, Madan S. A novel framework to enhance scientific knowledge of cardiovascular MRI biomarkers and their application to pediatric cardiomyopathy classification. Proceedings of the Second International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO 2014); Granada, Spain. 2014. p. (8 pages). In Press.

Floudas, C. S., Balasubramanian, J, Romkes, M., Gopalakrishnan, V. An empirical workflow for genome-wide single nucleotide polymorphism-based predictive modeling. In the Proceedings of the AMIA Translational Bioinformatics Summit 2013, March 18-20, San Francisco, CA.

Grover H, Wallstrom G, Wu CC, Gopalakrishnan V. Context-Sensitive Markov Models for Peptide Scoring and Identification from Tandem Mass Spectrometry. Omics : a journal of integrative biology. 2013 Feb;17(2):94-105. doi: 10.1089/omi.2012.0073. Epub 2013 Jan 5 PMID: 23289783 PMCID: PMC3567622 [Available on 2014/2/1]

Bigbee, W. L*., Gopalakrishnan, V*, Weissfeld J, L., Wilson, D. O., Dacic, S. Lokshin, A. E., Siegfried, J. M.  A Multiplexed Serum Biomarker Immunoassay Panel Discriminates Clinical Lung Cancer Patients from High-Risk Individuals Found to be Cancer-Free by CT Screening. J Thorac Oncol. 2012 Apr;7(4):698-708. (*These authors contributed equally to the study). PMID: 22425918 PMCID: PMC3308353

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