Author

Leo David Wang

City Of Hope National Medical CenterORCID 0000-0002-2945-9005Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Assay:proteomics· 1

Frequent Co-Authors

Antigoni ManousopoulouiD· 2 shared Jingyi Jessica LiiD· 2 shared Kyla WoyshneriD· 2 shared MeiLu McDermottiD· 2 shared Xinzhou GeiD· 2 shared Yiling Elaine CheniD· 2 shared Dongyuan SongiD· 1 shared Jarrod A. MartoiD· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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2 shared papersBioinformatics

Antigoni ManousopoulouORCID

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2 papers

Recent·Most cited

APIR: Aggregating Universal Proteomics Database Search Algorithms for Peptide Identification with FDR Control

Yiling Elaine Chen, Xinzhou Ge, Kyla Woyshner, MeiLu McDermott, Antigoni Manousopoulou, Scott B. Ficarro, Jarrod A. Marto, Kexin Li, Leo David Wang, Jingyi Jessica Li

APIR aggregates database search algorithms for proteomics to increase peptide identification while controlling FDR, outperforming individual methods on standard and real data.

Genomics Proteomics & Bioinformatics · Apr 1, 2024Peer-reviewedBioinformatics

Clipper: p-value-free FDR control on high-throughput data from two conditions

Xinzhou Ge, Yiling Elaine Chen, Dongyuan Song, MeiLu McDermott, Kyla Woyshner, Antigoni Manousopoulou, Ning Wang, Wei Li, Leo David Wang, Jingyi Jessica Li

Clipper provides a p-value-free FDR control method for high-throughput data from two conditions, outperforming existing approaches without relying on p-values or distributional assumptions.

Genome biology · Oct 11, 2021Peer-reviewedBioinformatics