Author

Revanth Krishna

University of Colorado AnschutzORCID 0000-0002-4902-8368Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:spatial transcriptomics· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1

Frequent Co-Authors

Fan ZhangiD· 3 shared Courtney T. SchieboutiD· 1 shared Douglas FritziD· 1 shared Jade YoungiD· 1 shared Juan VargasiD· 1 shared Jun InamoiD· 1 shared Nanxi Guo· 1 shared Samantha ReynosoiD· 1 shared

Activity by Year

2023-2025 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 15 mutual co-author links

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3 shared papersBioinformatics

Fan ZhangORCID

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Author profile →

3 papers

Recent·Most cited

STEAM: Spatial Transcriptomics Evaluation Algorithm and Metric for clustering performance

Samantha Reynoso, Courtney T. Schiebout, Revanth Krishna, Fan Zhang

STEAM evaluates clustering performance in spatial transcriptomics by comparing results across methods and providing statistical metrics to assess consistency and reliability.

Briefings in Bioinformatics · Aug 31, 2025Peer-reviewedBioinformatics

CellPhenoX: An eXplainable Cell-specific machine learning method to predict clinical Phenotypes using single-cell multi-omics

Jade Young, Jun Inamo, Zachary Caterer, Revanth Krishna, Fan Zhang

CellPhenoX identifies cell-specific phenotypes linked to clinical outcomes using single-cell multi-omics data, demonstrating its ability to detect relevant phenotypes in diseases like COVID-19 and ulcerative colitis.

bioRxiv · Jan 24, 2025 · PreprintBioinformatics

Uncover spatially informed shared variations for single-cell spatial transcriptomics with STew

Nanxi Guo, Juan Vargas, Douglas Fritz, Revanth Krishna, Fan Zhang

STew identifies spatially informed clusters and disease-relevant niches in spatial transcriptomics data by jointly analyzing spatial information and gene expression.

bioRxiv · Oct 10, 2023 · PreprintBioinformatics