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Robert S. Chapkin
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2020 – today
- 2022
- [j4]Daniel Osório, Yan Zhong, Guanxun Li, Qian Xu
, Yongjian Yang
, Yanan Tian, Robert S. Chapkin, Jianhua Z. Huang, James J. Cai:
scTenifoldKnk: An efficient virtual knockout tool for gene function predictions via single-cell gene regulatory network perturbation. Patterns 3(3): 100434 (2022) - 2020
- [c4]Junsouk Choi, Robert S. Chapkin, Yang Ni:
Bayesian Causal Structural Learning with Zero-Inflated Poisson Bayesian Networks. NeurIPS 2020
2010 – 2019
- 2018
- [j3]Jason M. Knight
, Ivan Ivanov, Karen Triff, Robert S. Chapkin
, Edward R. Dougherty:
Detecting Multivariate Gene Interactions in RNA-Seq Data Using Optimal Bayesian Classification. IEEE ACM Trans. Comput. Biol. Bioinform. 15(2): 484-493 (2018) - 2016
- [c3]Eunji Kim, Ivan Ivanov, Jianping Hua, Robert S. Chapkin
, Edward R. Dougherty:
Model-based study of the Effectiveness of Reporting Lists of Small Feature Sets using RNA-Seq Data. BCB 2016: 470-471 - 2012
- [c2]Charles Zheng, Scott Schwartz, Robert S. Chapkin
, Raymond J. Carroll, Ivan Ivanov:
Feature Selection for High-dimensional Integrated Data. SDM 2012: 1141-1150 - 2010
- [j2]Nysia I. George, Joanne R. Lupton, Nancy D. Turner
, Robert S. Chapkin
, Laurie A. Davidson, Naisyin Wang:
Evaluation of fecal mRNA reproducibility via a marginal transformed mixture modeling approach. BMC Bioinform. 11: 13 (2010) - [c1]Chen Zhao, Ivan Ivanov, Manasvi Shah, Laurie A. Davidson, Robert S. Chapkin
, Edward R. Dougherty:
Conditioning-based model for the regulatory activities of microRNAs in specific dietary contexts. GENSiPS 2010: 1-4
2000 – 2009
- 2005
- [j1]Li-Yu Daisy Liu
, Naisyin Wang, Joanne R. Lupton, Nancy D. Turner
, Robert S. Chapkin
, Laurie A. Davidson:
A two-stage normalization method for partially degraded mRNA microarray data. Bioinform. 21(21): 4000-4006 (2005)
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