Author

Vidyesh Rao Anisetti

U.S. National Science FoundationORCID 0000-0002-2769-4773Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:perturbation response prediction· 1 Assay:scRNA-seq· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Akshit GoyaliD· 1 shared Benjamin HaleyiD· 1 shared Benjamin Kuznets-SpeckiD· 1 shared Changhu WangiD· 1 shared Ekta PrashnaniiD· 1 shared Emanuelle I. GrodyiD· 1 shared Hanxiao SuniD· 1 shared Hector Manuel Lopez Rios· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperSystems Biology

Akshit GoyalORCID

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1 paper

Recent·Most cited

Co-fluctuations of genes in single cells predict transcriptome-wide outcomes to perturbations

Benjamin Kuznets-Speck, Nitu Kumari, Irish Senthilkumar, Jaekwon Jung, Hector Manuel Lopez Rios, Leon Schwartz, Hanxiao Sun, Vidyesh Rao Anisetti, Changhu Wang, Qingyang Wang, Pornchanan Pholraksa, Emanuelle I. Grody, Madeline E. Melzer, Benjamin Haley, Ekta Prashnani, , Yogesh Goyal

CIPHER uses gene co-fluctuations in unperturbed cells to predict transcriptome-wide responses to perturbations, outperforming existing methods and revealing key regulatory structures.

bioRxiv · Jun 27, 2025 · PreprintSystems Biology