Sinha, Saurabh

Big Data: Astronomical or Genomical?

Stephens, Z. D., Lee, S. Y., Faghri, F., Campbell, R. H., Zhai, C., Efron, M. J., Iyer, R., Schatz, M. C., Sinha, S., & Robinson, G. E. (2015) · PLOS Biology

Big Data Technologies and ApplicationsGenetics, Bioinformatics, and Biomedical Research

Cited by 1,340

Assessing computational tools for the discovery of transcription factor binding sites

Tompa, M., Li, N., Bailey, T. L., Church, G. M., De Moor, B., Eskin, E., Favorov, A. V., Frith, M. C., Fu, Y., Kent, W. J., et al. (2005) · Nature Biotechnology

Genomics and Chromatin DynamicsGenomics and Phylogenetic Studies

Cited by 1,268

Motif module map reveals enforcement of aging by continual NF-κB activity

Adler, A. S., Sinha, S., Kawahara, T. L. A., Zhang, J. Y., Segal, E., & Chang, H. Y. (2007) · Genes & Development

Genetics, Aging, and Longevity in Model OrganismsGenomics and Chromatin Dynamics

Cited by 466

Intravital imaging by simultaneous label-free autofluorescence-multiharmonic microscopy

You, S., Tu, H., Chaney, E. J., Sun, Y., Zhao, Y., Bower, A. J., Liu, Y.-Z., Marjanovic, M., Sinha, S., Pu, Y., et al. (2018) · Nature Communications

Advanced Fluorescence Microscopy TechniquesSpectroscopy Techniques in Biomedical and Chemical Research

Cited by 271

Behavior-related gene regulatory networks: A new level of organization in the brain

Sinha, S., Jones, B. M., Traniello, I. M., Bukhari, S. A., Halfon, M. S., Hofmann, H. A., Huang, S., Katz, P. S., Keagy, J., Lynch, V. J., et al. (2020) · Proceedings of the National Academy of Sciences

Gene Regulatory Network AnalysisNeurobiology and Insect Physiology Research

Cited by 80

Real-time intraoperative diagnosis by deep neural network driven multiphoton virtual histology

You, S., Sun, Y., Yang, L., Park, J., Tu, H., Marjanovic, M., Sinha, S., & Boppart, S. A. (2019) · npj Precision Oncology

AI in cancer detectionSpectroscopy Techniques in Biomedical and Chemical Research

Cited by 46

Transcriptional regulatory dynamics drive coordinated metabolic and neural response to social challenge in mice

Saul, M. C., Seward, C. H., Troy, J. M., Zhang, H., Sloofman, L. G., Lu, X., Weisner, P. A., Caetano-Anolles, D., Sun, H., Zhao, S. D., et al. (2017) · Genome Research

Genomics and Chromatin DynamicsStress Responses and Cortisol

Cited by 46

Uncoupling evolutionary changes in DNA sequence, transcription factor occupancy and enhancer activity

Khoueiry, P., Girardot, C., Ciglar, L., Peng, P.-C., Gustafson, E. H., Sinha, S., & Furlong, E. E. (2017) · eLife

Genomics and Chromatin DynamicsDevelopmental Biology and Gene Regulation

Cited by 44

The Liver X Receptor Is Selectively Modulated to Differentially Alter Female Mammary Metastasis-associated Myeloid Cells

Ma, L., Vidana Gamage, H. E., Tiwari, S., Han, C., Henn, M. A., Krawczynska, N., Dibaeinia, P., Koelwyn, G. J., Das Gupta, A., Bautista Rivas, R. O., et al. (2022) · Endocrinology

Cholesterol and Lipid MetabolismCancer, Lipids, and Metabolism

Cited by 21

SEAMoD: A fully interpretable neural network for cis-regulatory analysis of differentially expressed genes

Bhogale, S., Seward, C., Stubbs, L., & Sinha, S. (2023) · bioRxiv (Cold Spring Harbor Laboratory)

Genomics and Chromatin DynamicsGene Regulatory Network Analysis

Cited by 1