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ENCODE Imputation Challenge Participants

Stanford Medicine

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Assay:ChIP-seq· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Alex Hawkins‐HookeriD· 1 shared Anshul Bharat KundajeiD· 1 shared Arif CanakogluiD· 1 shared B BernsteiniD· 1 shared Bernhard SchölkopfiD· 1 shared Carles A. BoixiD· 1 shared Charles B. EpsteiniD· 1 shared Chenyang HongiD· 1 shared

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2023-2023 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Alex Hawkins‐HookerORCID

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1 paper

Recent·Most cited

BioinformaticsGenome biologyPeer-reviewedApr 18, 2023

The ENCODE Imputation Challenge: A critical assessment of methods for cross-cell type imputation of epigenomic profiles

Jacob Matthew Schreiber, Carles A. Boix, Jin wook Lee…·ENCODE Imputation Challenge Participants

The paper evaluates 23 imputation models for cross-cell type epigenomic data, finding quality assessment challenging due to distributional shifts, data availability, and redundant metrics.

16 citations

ChIP-seqmachine learning (classical)

𝕏 PostBluesky