Author

Arnav Das

University of WashingtonORCID 0000-0003-3083-6389Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:gene regulatory network inference· 2 Assay:Hi-C· 2 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:deconvolution· 1 Organism:mouse· 1 Assay:scATAC-seq· 1

Frequent Co-Authors

Alireza KarbalaygharehiD· 2 shared Christina S. LeslieiD· 2 shared Jeffrey A. BilmesiD· 2 shared Rui YangiD· 2 shared Vianne Ran GaoiD· 2 shared William Stafford NobleiD· 2 shared Aaron D. VinyiD· 1 shared Alexander Yu RudenskyiD· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Alireza KarbalaygharehORCID

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2 papers

Recent·Most cited

BioinformaticsNature CommunicationsPeer-reviewedNov 1, 2024

ChromaFold predicts the 3D contact map from single-cell chromatin accessibility

Vianne Ran Gao, Rui Yang, Arnav Das…·Christina S. Leslie

ChromaFold predicts 3D chromatin contact maps from scATAC-seq data, outperforming bulk-based methods and enabling cell-type-specific interaction analysis.

27 citationstop 5%

humanmouse

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GenomicsGenome biologyPeer-reviewedJun 6, 2023

Epiphany: predicting Hi-C contact maps from 1D epigenomic signals

Rui Yang, Arnav Das, Vianne Ran Gao…·Christina S. Leslie

Epiphany predicts cell-type-specific Hi-C contact maps from epigenomic signals, showing robust performance across cell types and species.

53 citationstop 3%

humanHi-C

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