Author

Yifan Peng

National Institutes of HealthORCID 0000-0001-9309-8331Unclaimed 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 Research Focus:cell type annotation· 1 Assay:ChIP-seq· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:electronic health records· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Alexandr A. KalininiD· 1 shared Amr M. AlexandariiD· 1 shared Anne Elizabeth CarpenteriD· 1 shared Anshul Bharat KundajeiD· 1 shared Anthony GitteriD· 1 shared Austin HuangiD· 1 shared Avanti ShrikumariD· 1 shared Benjamin J. LengerichiD· 1 shared

Activity by Year

2018-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Alexandr A. KalininORCID

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2 papers

Recent·Most cited

A Reference-free Approach for Cell Type Classification with scRNA-seq

Qi Sun, Yifan Peng, Jinze Liu

scSimClassify is a reference-free scRNA-seq cell type classifier using k-mer features, achieving better accuracy than traditional methods in four datasets.

iScience · Jul 14, 2021Peer-reviewedBioinformatics

Opportunities And Obstacles For Deep Learning In Biology And Medicine

Travers H. Ching, Daniel Himmelstein, Brett K. Beaulieu‐Jones, Alexandr A. Kalinin, Brian T. Do, Gregory P. Way, Enrico Ferrero, Paul‐Michael Agapow, Michael Zietz, Michael M. Hoffman, Wei Xie, GAIL L. ROSEN, Benjamin J. Lengerich, Johnny Israeli, Jack Lanchantin, , Casey S. Greene

Deep learning rivals or beats baselines across imaging, health records, genomics and drug discovery but is not yet transformative; scarce labels, privacy and opacity remain hurdles.

Journal of The Royal Society Interface · Apr 1, 2018Peer-reviewedBioinformatics✦ In-depth digest