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XMRF: an R package to fit Markov Networks to high-throughput genetics data., , , , , , and . BMC Syst. Biol., 10 (S-3): 69 (2016)Feature Selection for Huge Data via Minipatch Learning., and . CoRR, (2020)Correlation Imputation in Single cell RNA-seq using Auxiliary Information and Ensemble Learning., , and . BCB, page 41:1-41:6. ACM, (2020)Integrated Principal Components Analysis., and . J. Mach. Learn. Res., (2021)SPA-STOCSY: an automated tool for identifying annotated and non-annotated metabolites in high-throughput NMR spectra., , , , , , , , , and . Bioinform., (October 2023)To the Fairness Frontier and Beyond: Identifying, Quantifying, and Optimizing the Fairness-Accuracy Pareto Frontier., , and . CoRR, (2022)Experiential Learning in Data Science: Developing an Interdisciplinary, Client-Sponsored Capstone Program.. SIGCSE, page 516-522. ACM, (2021)Correlation Imputation for Single-Cell RNA-seq., , and . J. Comput. Biol., 29 (5): 465-482 (2022)Mixed Graphical Models via Exponential Families., , , , and . AISTATS, volume 33 of JMLR Workshop and Conference Proceedings, page 1042-1050. JMLR.org, (2014)Sparse non-negative generalized PCA with applications to metabolomics., and . Bioinform., 27 (21): 3029-3035 (2011)