Sushmita Roy
Orcid: 0000-0002-3694-1705
According to our database1,
Sushmita Roy
authored at least 17 papers
between 2004 and 2023.
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Bibliography
2023
Leveraging epigenomes and three-dimensional genome organization for interpreting regulatory variation.
PLoS Comput. Biol., 2023
2022
Comparison of deep and shallow graph representation learning algorithms for detecting modules in molecular networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2016
Integrating Transcriptomic and Proteomic Data Using Predictive Regulatory Network Models of Host Response to Pathogens.
PLoS Comput. Biol., 2016
Multi-task consensus clustering of genome-wide transcriptomes from related biological conditions.
Bioinform., 2016
2014
High-order interactions observed in multi-task intrinsic networks are dominant indicators of aberrant brain function in schizophrenia.
NeuroImage, 2014
2013
Integrated Module and Gene-Specific Regulatory Inference Implicates Upstream Signaling Networks.
PLoS Comput. Biol., 2013
2011
A multiple network learning approach to capture system-wide condition-specific responses.
Bioinform., 2011
2010
Information-Theoretic Inference of Gene Networks Using Backward Elimination.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2010
2009
Inference of Functional Networks of Condition-Specific Response--A Case Study Of Quiescence In Yeast.
Proceedings of the Biocomputing 2009: Proceedings of the Pacific Symposium, 2009
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
2008
A system for generating transcription regulatory networks with combinatorial control of transcription.
Bioinform., 2008
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008
2006
J. Comput. Biol., 2006
2005
A datamining approach to cell population deconvolution from gene expressions using particle filters.
Proceedings of the 5th international workshop on Bioinformatics, 2005
2004
Quantifying reproducibility for differential proteomics: noise analysis for protein liquid chromatography-mass spectrometry of human serum.
Bioinform., 2004