Author

v. Murthy

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biophysics· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

A. E. Davies· 1 shared D. M. Zuckerman· 1 shared I. C. McLean· 1 shared J. Baker· 1 shared J. Copperman· 1 shared J. Singh· 1 shared L. M. Heiser· 1 shared S. M. Gross· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 28 mutual co-author links

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1 shared paperCell Biology

A. E. Davies

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2 papers

Recent·Most cited

Single-cell morphodynamical trajectories enable prediction of gene expression accompanying cell state change

J. Copperman, I. C. McLean, S. M. Gross, J. Singh, V. Murthy, Y. H. Chang, A. E. Davies, D. M. Zuckerman, L. M. Heiser

The paper develops MMIST, a computational approach linking live-cell morphodynamics to gene expression changes during cell state transitions.

bioRxiv · Jan 18, 2024Cell Biology

Stochastic Force Generation in an Isometric Binary Mechanical System: A Thermodynamic Model of Muscle Force Generation

J. Baker, v. Murthy

This paper introduces a thermodynamic model of muscle contraction that simulates isometric force generation and shows force kinetics are bounded by thermodynamic equations, with periodic force generation emerging from stochastic simulations.

bioRxiv · Sep 20, 2023 · PreprintBiophysics