Author

Hannah Zhou

ORCID 0009-0004-0540-1724Unclaimed 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 Assay:ChIP-seq· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Assay:DNA methylation· 1

Frequent Co-Authors

Anshul Bharat KundajeiD· 1 shared Avanti ShrikumariD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperBioinformatics

Anshul Bharat KundajeORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintNov 4, 2020

Towards a Better Understanding of Reverse-Complement Equivariance for Deep Learning Models in Regulatory Genomics

Hannah Zhou, Avanti Shrikumar, Anshul Bharat Kundaje

This paper evaluates strategies for enforcing reverse-complement equivariance in deep learning models for regulatory genomics, finding post-hoc conjoined models perform best.

6 citations

DNA methylationChIP-seq

𝕏 PostBluesky