| Evaluation of a 4‐protein serum biomarker panel—biglycan, annexin‐A 6, myeloperoxidase, and protein S 100‐A 9 (B‐AMP)—for the detection of esophageal adenocarcinoma AH Zaidi, V Gopalakrishnan, PM Kasi, X Zeng, U Malhotra, ... Cancer 120 (24), 3902-3913, 2014 | 48 | 2014 |
| On Predicting lung cancer subtypes using ‘omic’data from tumor and tumor-adjacent histologically-normal tissue AL Pineda, HA Ogoe, JB Balasubramanian, C Rangel Escareño, ... BMC cancer 16, 1-11, 2016 | 11 | 2016 |
| Selective model averaging with bayesian rule learning for predictive biomedicine JB Balasubramanian, S Visweswaran, GF Cooper, V Gopalakrishnan AMIA Summits on Translational Science Proceedings 2014, 17, 2014 | 11 | 2014 |
| Learning parsimonious classification rules from gene expression data using Bayesian networks with local structure JL Lustgarten, JB Balasubramanian, S Visweswaran, V Gopalakrishnan Data 2 (1), 5, 2017 | 10 | 2017 |
| A novel approach to modeling multifactorial diseases using Ensemble Bayesian Rule classifiers JB Balasubramanian, RD Boes, V Gopalakrishnan Journal of Biomedical Informatics 107, 103455, 2020 | 4 | 2020 |
| Tunable structure priors for Bayesian rule learning for knowledge integrated biomarker discovery JB Balasubramanian, V Gopalakrishnan World journal of clinical oncology 9 (5), 98, 2018 | 3 | 2018 |
| Moving towards FAIR practices in epidemiological research M Garcia-Closas, TU Ahearn, MM Gaudet, AN Hurson, ... arXiv preprint arXiv:2206.06159, 2022 | 2 | 2022 |
| An empirical workflow for genome-wide single nucleotide polymorphism-based predictive modeling CS Floudas, JB Balasubramanian, M Romkes, V Gopalakrishnan AMIA Summits on Translational Science Proceedings 2013, 53, 2013 | 2 | 2013 |
| Systems and methods for multiobjective optimization N Laptev, A Soni, Y Mehdad, JB Balasubramanian US Patent 10,915,597, 2021 | 1 | 2021 |
| Online Article Ranking as a Constrained, Dynamic, Multi-Objective Optimization Problem JB Balasubramanian, A Soni, Y Mehdad, N Laptev Proceedings of the Thirtieth International Florida Artificial Intelligence …, 2017 | 1 | 2017 |
| Knowledge discovery with Bayesian Rule Learning for actionable biomedicine JB Balasubramanian, KE Kip, SE Reis, V Gopalakrishnan bioRxiv, 785279, 2019 | | 2019 |
| Knowledge discovery with Bayesian Rule Learning methods for actionable biomedicine JB Balasubramanian University of Pittsburgh, 2019 | | 2019 |
| Online Article Ranking as a Constrained, Dynamic, Multi-Objective Optimization Problem J Balaji Balasubramanian, A Soni, Y Mehdad, N Laptev arXiv e-prints, arXiv: 1705.05765, 2017 | | 2017 |
| Comprehensive Exam JB Balasubramanian | | 2017 |
| Methods for the detection of esophageal adenocarcinoma AH Zaidi, BA Jobe, X Zeng, JB Balasubramanian, V Gopalakrishnan, ... US Patent App. 15/107,444, 2016 | | 2016 |
| A Flexible Feature Selection Framework for Improving Breast Cancer Classification from Sparse Spectral Count Proteomic Data L Shi, H Grover, JB Balasubramanian, K Kolli, CD Shriver, ... Proceedings of the International Conference on Data Science (ICDATA), 1, 2014 | | 2014 |
| 935a Evaluation of a Four-Protein Biomarker Panel (Biglycan, Annexin-A6, Myeloperoxidase and Protein S100-A9; B-AMP©) for Detection of Esophageal Adenocarcinoma AH Zaidi, V Gopalakrishnan, PM Kasi, U Malhotra, J Balasubramanian, ... Gastroenterology 5 (146), S-161, 2014 | | 2014 |
Vanathi GopalakrishnanAssociate Professor of Biomedical Informatics, University of PittsburghVerified email at pitt.edu
