Author

Bharath Dandala

IBM (United States)ORCID 0000-0002-9643-991XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:database / resource· 1 Approach:deep learning· 1 Assay:GWAS summary statistics· 1 Approach:large language model· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Bum Chul KwoniD· 1 shared Ching-Huei TsouiD· 1 shared Feng Lin· 1 shared Joao H. Bettencourt‐SilvaiD· 1 shared Natasha MulliganiD· 1 shared Pablo MeyeriD· 1 shared Ta‐Hsin LiiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Bum Chul KwonORCID

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1 paper

Recent·Most cited

GENET: AI-Powered Interactive Visualization Workflows to Explore Biomedical Entity Networks

Bum Chul Kwon, Natasha Mulligan, Joao H. Bettencourt‐Silva, Ta‐Hsin Li, Bharath Dandala, Feng Lin, Ching-Huei Tsou, Pablo Meyer

GENET streamlines hypothesis generation for gene-disease associations by integrating AI-driven network analysis, literature mining, clustering, and visualization.

bioRxiv · Dec 16, 2025 · PreprintBioinformatics