Author

Chandrani Kumari

University of Wisconsin–MadisonORCID 0000-0002-7107-7334Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Plant Biology· 1

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Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1 Organism:zebrafish· 1

Frequent Co-Authors

Christopher DervinisiD· 1 shared Jean‐Michel AnéiD· 1 shared Marina KotvanovaiD· 1 shared Matias KirstiD· 1 shared Prakriti GargiD· 1 shared Rafael E. VenadoiD· 1 shared Rubens DiogoiD· 1 shared Saptarshi PyneiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperPlant Biology

Christopher DervinisORCID

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1 paper

Recent·Most cited

Plant BiologybioRxivPreprintSep 30, 2026

Single-Cell Omics to Uncover Cell-Type-Specific Gene Regulatory Networks Driving Mucilage Production in Specialized Roots

Rafael E. Venado, Marina Kotvanova, Chandrani Kumari…·Jean‐Michel Ané

This study uses single-cell RNA sequencing to identify gene regulatory networks in mucilage-producing roots across maize, sorghum, and Medicago truncatula, revealing shared and species-specific regulators.

DOI 10.64898/2026.09.29.755433

zebrafishmouse

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