A two-stage normalization method for partially degraded mRNA microarray data. - Li-Yu Daisy Liu; Naisyin Wang; Joanne R. Lupton; Nancy D. Turner; Robert S. Chapkin; Laurie A. Davidson (Bioinform., 2005)

Conditioning-based model for the regulatory activities of microRNAs in specific dietary contexts. - Chen Zhao; Ivan Ivanov 001; Manasvi Shah; Laurie A. Davidson; Robert S. Chapkin; Edward R. Dougherty (GENSiPS, 2010)

Evaluation of fecal mRNA reproducibility via a marginal transformed mixture modeling approach. - Nysia I. George; Joanne R. Lupton; Nancy D. Turner; Robert S. Chapkin; Laurie A. Davidson; Naisyin Wang (BMC Bioinform., 2010)

Feature Selection for High-dimensional Integrated Data. - Charles Zheng; Scott Schwartz; Robert S. Chapkin; Raymond J. Carroll; Ivan Ivanov 001 (SDM, 2012)

Model-based study of the Effectiveness of Reporting Lists of Small Feature Sets using RNA-Seq Data. - Eunji Kim; Ivan Ivanov 001; Jianping Hua; Robert S. Chapkin; Edward R. Dougherty (BCB, 2016)

Detecting Multivariate Gene Interactions in RNA-Seq Data Using Optimal Bayesian Classification. - Jason M. Knight; Ivan Ivanov 001; Karen Triff; Robert S. Chapkin; Edward R. Dougherty (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Bayesian Causal Structural Learning with Zero-Inflated Poisson Bayesian Networks. - Junsouk Choi; Robert S. Chapkin; Yang Ni (NeurIPS, 2020)

scTenifoldKnk: An efficient virtual knockout tool for gene function predictions via single-cell gene regulatory network perturbation. - Daniel Osório 004; Yan Zhong 003; Guanxun Li; Qian Xu; Yongjian Yang 003; Yanan Tian; Robert S. Chapkin; Jianhua Z. Huang; James J. Cai (Patterns, 2022)

Quantum Annealing for Enhanced Feature Selection in Single-Cell RNA Sequencing Data Analysis. - Selim Romero; Shreyan Gupta; Victoria Gatlin; Robert S. Chapkin; James J. Cai (CoRR, 2024)