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BMC Bioinformatics|September 4, 2024
Answering open questions in biology using spatial genomics and structured methodsSiddhartha G Jena, Archit Verma, Barbara E EngelhardtProceedings of the National Academy of Sciences of the United States of America|August 7, 2021
A self-exciting point process to study multicellular spatial signaling patternsArchit Verma, Siddhartha G Jena, Danielle R Isakov, et al.BMC Bioinformatics|July 23, 2020
A robust nonlinear low-dimensional manifold for single cell RNA-seq dataArchit Verma, Barbara E EngelhardtThe Biochemical Journal|June 17, 2022
Towards 'end-to-end' analysis and understanding of biological timecourse dataSiddhartha G Jena, Alexander G Goglia, Barbara E EngelhardtPacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 13, 2024
Understanding TCR T cell knockout behavior using interpretable machine learningMarcus Blennemann, Archit Verma, Stefanie Bachl, et al.Biorxiv : the Preprint Server for Biology|June 12, 2025
Live-cell analyses with unsegmented images to study cancer cell response to modified T cell therapyLeo Epstein, Adam C Weiner, Archit Verma, et al.Scientific Reports|June 30, 2026
Segmentation-free analysis of live-cell imaging data reveals how T cell modifications influence cancer cell aggregation dynamicsLeo Epstein, Adam C Weiner, Archit Verma, et al.Journal of Cellular and Molecular Medicine|February 20, 2016
A random graph model of density thresholds in swarming cellsSiddhartha G JenaPlos Genetics|September 24, 2010
Analysis of population structure: a unifying framework and novel methods based on sparse factor analysisBarbara E Engelhardt, Matthew StephensProceedings of the National Academy of Sciences of the United States of America|June 17, 2020
Regulation of spatiotemporal limits of developmental gene expression via enhancer grammarSamuel H Keller, Siddhartha G Jena, Yuji Yamazaki, et al.Pageof 8