Author

Shashank Kumar Singh

Carnegie Mellon UniversityORCID 0000-0002-7305-673XUnclaimed 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· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

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Barnabás PóczosiD· 1 shared Jian MaiD· 1 shared Yang YangiD· 1 shared

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2019-2019 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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Barnabás PóczosORCID

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1 paper

Recent·Most cited

BioinformaticsQuantitative BiologyPeer-reviewedApr 25, 2019

Predicting Enhancer-Promoter Interaction from Genomic Sequence with Deep Neural Networks

Shashank Kumar Singh, Yang Yang, Barnabás Póczos, Jian Ma

This paper introduces SPEID, a deep learning model that predicts enhancer-promoter interactions using sequence features, showing effectiveness across six cell types and application to melanoma mutations.

180 citationstop 2%

humanDNA methylation

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