Nonnegative Matrix Factorization: An Analytical and Interpretive Tool in Computational Biology. - Karthik Devarajan (PLoS Comput. Biol., 2008)

A Supervised Approach for Predicting Patient Survival with Gene Expression Data. - Karthik Devarajan; Yan Zhou; Neeraj Chachra; Nader Ebrahimi 001 (BIBE, 2010)

A semi-parametric generalization of the Cox proportional hazards regression model: Inference and applications. - Karthik Devarajan; Nader Ebrahimi 001 (Comput. Stat. Data Anal., 2011)

Improved biomarker performance for the detection of hepatocellular carcinoma by inclusion of clinical parameters. - Mengjun Wang; Timothy M. Block; Jorge Marrero; Adrian M. Di Bisceglie; Karthik Devarajan; Anand Mehta (BIBM, 2012)

On Nonnegative Matrix Factorization Algorithms for Signal-Dependent Noise with Application to Electromyography Data. - Karthik Devarajan; Vincent C. K. Cheung (Neural Comput., 2014)

A hybrid algorithm for non-negative matrix factorization based on symmetric information divergence. - Karthik Devarajan; Nader Ebrahimi 001; Ehsan S. Soofi (BIBM, 2015)

Decomposing time series data by a non-negative matrix factorization algorithm with temporally constrained coefficients. - Vincent C. K. Cheung; Karthik Devarajan; Giacomo Severini; Andrea Turolla; Paolo Bonato (EMBC, 2015)

A unified statistical approach to non-negative matrix factorization and probabilistic latent semantic indexing. - Karthik Devarajan; Guoli Wang; Nader Ebrahimi 001 (Mach. Learn., 2015)

A Quasi-Likelihood Approach to Nonnegative Matrix Factorization. - Karthik Devarajan; Vincent C. K. Cheung (Neural Comput., 2016)

Non-negative matrix factorization based on generalized dual divergence. - Karthik Devarajan (CoRR, 2019)

Unified methods for feature selection in large-scale genomic studies with censored survival outcomes. - Lauren Spirko-Burns; Karthik Devarajan (Bioinform., 2020)

Probability Link Models with Symmetric Information Divergence. - Majid Asadi; Karthik Devarajan; Nader Ebrahimi 001; Ehsan S. Soofi; Lauren Spirko-Burns (CoRR, 2020)

A statistical framework for non-negative matrix factorization based on generalized dual divergence. - Karthik Devarajan (Neural Networks, 2021)

Supervised Dimension Reduction for Large-Scale "Omics" Data With Censored Survival Outcomes Under Possible Non-Proportional Hazards. - Lauren Spirko-Burns; Karthik Devarajan (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)