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2020 – today
- 2023
[j12]Yann Ponty
, Sushmita Roy:
ISMB/ECCB 2023 proceedings. Bioinform. 39(Supplement-1): 1-2 (2023)- [j11]Brittany Baur, Junha Shin, Jacob Schreiber, Shilu Zhang, Yi Zhang, Mohith Manjunath, Jun S. Song, William Stafford Noble, Sushmita Roy:
Leveraging epigenomes and three-dimensional genome organization for interpreting regulatory variation. PLoS Comput. Biol. 19(7) (2023) - 2022
- [j10]Christophe Dessimoz, Sushmita Roy:
ISMB 2022 proceedings. Bioinform. 38(Supplement_1): i8-i9 (2022) - [c7]Zhiwei Song, Brittany A. Baur, Sushmita Roy:
Comparison of deep and shallow graph representation learning algorithms for detecting modules in molecular networks. BIBM 2022: 2375-2377
2010 – 2019
- 2016
- [j9]Zhen Niu, Deborah Chasman, Amie J. Eisfeld, Yoshihiro Kawaoka, Sushmita Roy:
Multi-task consensus clustering of genome-wide transcriptomes from related biological conditions. Bioinform. 32(10): 1509-1517 (2016) - [j8]Deborah Chasman, Kevin B. Walters, Tiago J. S. Lopes, Amie J. Eisfeld, Yoshihiro Kawaoka, Sushmita Roy:
Integrating Transcriptomic and Proteomic Data Using Predictive Regulatory Network Models of Host Response to Pathogens. PLoS Comput. Biol. 12(7) (2016) - 2014
- [j7]Sergey M. Plis, Jing Sui, Terran Lane, Sushmita Roy, Vincent P. Clark, Vamsi K. Potluru, René J. Huster, Andrew Michael, Scott R. Sponheim, Michael P. Weisend, Vince D. Calhoun:
High-order interactions observed in multi-task intrinsic networks are dominant indicators of aberrant brain function in schizophrenia. NeuroImage 102: 35-48 (2014) - 2013
- [j6]Sushmita Roy, Stephen Lagree, Zhonggang Hou, James A. Thomson, Ron M. Stewart, Audrey P. Gasch:
Integrated Module and Gene-Specific Regulatory Inference Implicates Upstream Signaling Networks. PLoS Comput. Biol. 9(10) (2013) - 2011
- [j5]Sushmita Roy, Margaret Werner-Washburne, Terran Lane:
A multiple network learning approach to capture system-wide condition-specific responses. Bioinform. 27(13): 1832-1838 (2011) - 2010
- [c6]Patrick Meyer, Daniel Marbach, Sushmita Roy, Manolis Kellis:
Information-Theoretic Inference of Gene Networks Using Backward Elimination. BIOCOMP 2010: 700-705
2000 – 2009
- 2009
- [c5]Sushmita Roy, Terran Lane, Margaret Werner-Washburne:
Learning structurally consistent undirected probabilistic graphical models. ICML 2009: 905-912 - [c4]Sushmita Roy, Terran Lane, Margaret Werner-Washburne, Diego Martínez:
Inference of Functional Networks of Condition-Specific Response--A Case Study Of Quiescence In Yeast. Pacific Symposium on Biocomputing 2009: 51-62 - 2008
- [j4]Sushmita Roy, Margaret Werner-Washburne, Terran Lane:
A system for generating transcription regulatory networks with combinatorial control of transcription. Bioinform. 24(10): 1318-1320 (2008) - [c3]Sushmita Roy, Terran Lane, Margaret Werner-Washburne:
Integrative Construction and Analysis of Condition-specific Biological Networks. AAAI 2008: 1867-1868 - 2007
- [c2]Sushmita Roy, Terran Lane, Margaret Werner-Washburne:
Integrative Construction and Analysis of Condition-specific Biological Networks. AAAI 2007: 1898-1899 - 2006
- [j3]Peter D. Wentzell, Tobias K. Karakach, Sushmita Roy, M. Juanita Martinez, Christopher P. Allen, Margaret Werner-Washburne:
Multivariate curve resolution of time course microarray data. BMC Bioinform. 7: 343 (2006) - [j2]Sushmita Roy, Terran Lane, Christopher P. Allen, Anthony D. Aragon, Margaret Werner-Washburne:
A Hidden-State Markov Model for Cell Population Deconvolution. J. Comput. Biol. 13(10): 1749-1774 (2006) - 2005
- [c1]Sushmita Roy, Terran Lane, Margaret Werner-Washburne:
A datamining approach to cell population deconvolution from gene expressions using particle filters. BIOKDD 2005: 46-53 - 2004
- [j1]Markus Anderle II, Sushmita Roy, Hua Lin, Christopher Becker, Keith Joho:
Quantifying reproducibility for differential proteomics: noise analysis for protein liquid chromatography-mass spectrometry of human serum. Bioinform. 20(18): 3575-3582 (2004)
Coauthor Index
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