Author

Srishti Singh

ICAR-Indian Institute of Agricultural Biotechnology

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

K K Kanaka· 1 shared K. C. NikhiliD· 1 shared Madhu RameshiD· 1 shared Madhusudan Reddy NandineniiD· 1 shared Pankaj KumariD· 1 shared Rangasai Chandra GoliiD· 1 shared Sandip GaraiiD· 1 shared Soumen NaskariD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

K K Kanaka

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1 paper

Recent·Most cited

AlphaGenome informed machine learning for pathogenicity prediction of germline mutations

Pankaj Kumar, Srishti Singh, Sandip Garai, Madhu Ramesh, Rangasai Chandra Goli, K. C. Nikhil, Tanmaya Kumar Sahu, Soumen Naskar, Vijai Pal Bhadana, Madhusudan Reddy Nandineni, K K Kanaka

AGVarPred is a gradient-boosted classifier that improves pathogenicity prediction of germline variants by integrating AlphaGenome features, outperforming existing models across SNVs and indels.

bioRxiv · Oct 25, 2026 · PreprintBioinformatics