Author

Akshat Singhal

Stony Brook UniversityORCID 0000-0001-5371-526XUnclaimed 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:benchmarking· 2 Approach:statistical model· 2 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:Hi-C· 1 Organism:human· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Carl KingsfordiD· 1 shared Chan‐Young OckiD· 1 shared Chang Ho Ahn· 1 shared David LaubiD· 1 shared Dean BoecheriD· 1 shared Hannah K. CarteriD· 1 shared Ingoo LeeiD· 1 shared Jimin MooniD· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperGenomics

Carl KingsfordORCID

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2 papers

Recent·Most cited

Systems BiologybioRxivPreprintSep 8, 2025

Translating clinical gene sequencing into a foundational representation of tumor subtype

JungHo Kong, Ingoo Lee, Dean Boecher…·Trey E. Ideker

This paper introduces MutationProjector, an AI model that converts tumor mutation profiles into cancer subtype representations, achieving strong performance in predicting treatment responses and classifying metastasis.

1 citation

humanwhole-exome sequencing

𝕏 PostBluesky

GenomicsNAR Genomics and BioinformaticsPeer-reviewedSep 30, 2019

Analysis of the structural variability of topologically associated domains as revealed by Hi-C

Natalie Sauerwald, Akshat Singhal, Carl Kingsford

This study quantifies structural variability of TADs across 137 Hi-C samples, showing significant variation between samples and protocol-specific changes but robustness to lab differences.

40 citations

Hi-Cstatistical model

𝕏 PostBluesky