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Bioinformatics (Oxford, England)|September 10, 2016
A novel method for predicting activity of cis-regulatory modules, based on a diverse training setWei Yang, Saurabh SinhaBioinformatics (Oxford, England)|May 7, 2016
Characterizing gene sets using discriminative random walks with restart on heterogeneous biological networksCharles Blatti, Saurabh SinhaSensors (Basel, Switzerland)|June 1, 2019
Emerging Transistor Technologies Capable of Terahertz Amplification: A Way to Re-Engineer Terahertz Radar SensorsMladen Božanić, Saurabh SinhaPlos Computational Biology|September 27, 2018
An information theoretic treatment of sequence-to-expression modelingFarzaneh Khajouei, Saurabh SinhaNucleic Acids Research|September 11, 2021
Deciphering enhancer sequence using thermodynamics-based models and convolutional neural networksPayam Dibaeinia, Saurabh SinhaPlos 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 SinhaNucleic Acids Research|June 26, 2003
YMF: A program for discovery of novel transcription factor binding sites by statistical overrepresentationSaurabh Sinha, Martin TompaBMC Bioinformatics|January 28, 2010
Towards realistic benchmarks for multiple alignments of non-coding sequencesJaebum Kim, Saurabh SinhaArxiv|May 10, 2023
CIMLA: Interpretable AI for inference of differential causal networksPayam Dibaeinia, Saurabh SinhaCommunications Biology|November 5, 2025
CellSP enables module discovery and visualization for subcellular spatial transcriptomics dataBhavay Aggarwal, Saurabh SinhaPageof 31