Balasubramanian JB, Boes RD, Gopalakrishnan V. A novel approach to modeling multifactorial diseases using Ensemble Bayesian Rule classifiers. Journal of Biomedical Informatics 020 Jul;107:103455. doi: 10.1016/j.jbi.2020.103455. PMID: 32497685
Vanathi Gopalakrishnan, PhD
Ceschin R, Zahner A, Reynolds W, Gaesser J, Zuccoli G, Lo CW, Gopalakrishnan V, Panigrahy A. A computational framework for the detection of subcortical brain dysmaturation in neonatal MRI using 3D Convolutional Neural Networks. Neuroimage. 2018 Sep;178:183-197. doi: 10.1016/j.neuroimage.2018.05.049. Epub 2018 May 21. PMID: 29793060.
Balasubramanian JB, Gopalakrishnan V. Tunable structure priors for Bayesian rule learning for knowledge integrated biomarker discovery.World J Clin Oncol. 2018 Sep 14;9(5): 89-109. doi: 10.5306/wjco.v9.i5.98. PMID: 30254965. PMC ID: PMC6153126.
Lustgarten JL, Balasubramanian JB, Visweswaran S, Gopalakrishnan V, Learning Parsimonious Classification Rules from Gene Expression Data Using Bayesian Networks with Local Structure. Data (Basel). 2017 Mar;2(1). pii: 5. Epub 2017 Jan 18. PMID: 28331847. PMCID: PMC5358670. DOI: 10.3390/data2010005.
Liu Y, Gopalakrishnan V. An Overview and Evaluation of Recent Machine Learning Imputation Methods Using Cardiac Imaging Data. Data 2017, 2(1), 8; doi: 10.3390/data2010008.
Pineda AL, Ogoe HA, Balasubramanian JB, Rangel Escareño C, Visweswaran S, Herman JG, Gopalakrishnan V. On Predicting lung cancer subtypes using 'omic' data from tumor and tumor-adjacent histologically-normal tissue. BMC Cancer. 2016 Mar 4;16:184. doi: 10.1186/s12885-016-2223-3. PMID: 26944944 PMCID: PMC4778315 DOI: 10.1186/s12885-016-2223-3.
Ogoe, HA, Visweswaran, S, Lu, X, Gopalakrishnan, V. (2015) Knowledge transfer via classification rules using functional mapping for integrative modeling of gene expression data. BMC Bioinformatics 16:226 (designated as a Highly Accessed paper) PMID: 26202217 PMCID: PMC4512094