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Plos Computational Biology|June 5, 2024
Quantitative estimates of the regulatory influence of long non-coding RNAs on global gene expression variation using TCGA breast cancer transcriptomic dataXiaoman Xie, Saurabh Sinha
Nucleic Acids Research|June 26, 2003
YMF: A program for discovery of novel transcription factor binding sites by statistical overrepresentationSaurabh Sinha, Martin Tompa
Arxiv|May 10, 2023
CIMLA: Interpretable AI for inference of differential causal networksPayam Dibaeinia, Saurabh Sinha
Communications Biology|November 5, 2025
CellSP enables module discovery and visualization for subcellular spatial transcriptomics dataBhavay Aggarwal, Saurabh Sinha
Nucleic Acids Research|May 27, 2014
Motif enrichment toolCharles Blatti, Saurabh Sinha
Biorxiv : the Preprint Server for Biology|January 27, 2025
CellSP: Module discovery and visualization for subcellular spatial transcriptomics dataBhavay Aggarwal, Saurabh Sinha
Nucleic Acids Research|December 20, 2002
Discovery of novel transcription factor binding sites by statistical overrepresentationSaurabh Sinha, Martin Tompa
NPJ Systems Biology and Applications|February 9, 2021
Inference of phenotype-relevant transcriptional regulatory networks elucidates cancer type-specific regulatory mechanisms in a pan-cancer studyAmin Emad, Saurabh Sinha
Methods in Molecular Biology (Clifton, N.J.)|September 10, 2010
Evolution of cis-regulatory sequences in DrosophilaXin He, Saurabh Sinha
Genome Biology and Evolution|May 10, 2015
What does it take to evolve an enhancer? A simulation-based study of factors influencing the emergence of combinatorial regulationThyago Duque, Saurabh Sinha
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