Jeya Balaji Balasubramanian
Jeya Balaji Balasubramanian
National Cancer Institute
Verified email at
Cited by
Cited by
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
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
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
Moving toward findable, accessible, interoperable, reusable practices in epidemiologic research
M García-Closas, TU Ahearn, MM Gaudet, AN Hurson, ...
American journal of epidemiology 192 (6), 995-1005, 2023
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
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
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
Moving towards FAIR practices in epidemiological research
M Garcia-Closas, TU Ahearn, MM Gaudet, AN Hurson, ...
arXiv preprint arXiv:2206.06159, 2022
Systems and methods for multiobjective optimization
N Laptev, A Soni, Y Mehdad, JB Balasubramanian
US Patent 10,915,597, 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
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
Development and prospective validation of an estrogen receptor positive breast cancer risk model to identify women who could benefit for risk-reducing therapies
TU Ahearn, S Mukhopadhyay, J Balasubramanian, N Chatterjee, ...
Cancer Research 84 (6_Supplement), 3464-3464, 2024
Wasm-iCARE: a portable and privacy-preserving web module to build, validate, and apply absolute risk models
JB Balasubramanian, PP Choudhury, S Mukhopadhyay, T Ahearn, ...
ArXiv, 2023
mSigSDK--private, at scale, computation of mutation signatures
A Ge, T Zhang, K Chen, MT Landi, B Park, J Balasubramanian, ...
arXiv preprint arXiv:2308.02995, 2023
A FAIR platform for reproducing mutational signature detection on tumor sequencing data
A Ge, T Zhang, C Bodelon, M Garcia-Closas, J Almeida, ...
arXiv preprint arXiv:2306.01634, 2023
PRScalc, a privacy-preserving calculation of raw polygenic risk scores from direct-to-consumer genomics data
L Sandoval, S Jafri, JB Balasubramanian, P Bhawsar, JL Edelson, ...
Bioinformatics Advances 3 (1), vbad145, 2023
Knowledge discovery with Bayesian Rule Learning for actionable biomedicine
JB Balasubramanian, KE Kip, SE Reis, V Gopalakrishnan
bioRxiv, 785279, 2019
Knowledge Discovery with Bayesian Rule Learning Methods for Actionable Biomedicine
JB Balasubramanian
University of Pittsburgh, 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
Comprehensive Exam
JB Balasubramanian
The system can't perform the operation now. Try again later.
Articles 1–20