Author

Da Chen Emily Koo

New York UniversityORCID 0000-0001-9379-4548Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Organism:yeast· 2 Research Focus:benchmarking· 1 Organism:C. elegans· 1 Organism:Drosophila· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:protein sequence· 1

Frequent Co-Authors

Richard BonneauiD· 2 shared Ahmet Süreyya RifaioğluiD· 1 shared Alan J. MedlariD· 1 shared Alberto PaccanaroiD· 1 shared Alessandro PetriniiD· 1 shared Alex Alves FreitasiD· 1 shared Alex W. CrockeriD· 1 shared Alex Warwick VesztrocyiD· 1 shared

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2018-2019 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Richard BonneauORCID

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2 papers

Recent·Most cited

BioinformaticsGenome biologyPeer-reviewedNov 19, 2019

The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens

Naihui Zhou, Yuxiang Jiang, Timothy R. Bergquist…·Enrico Lavezzo

The paper reports results from the CAFA3 challenge, showing improved computational protein function prediction and new annotations for over 1000 genes through experimental screens in C. albicans, P. aureginosa, and Drosophila.

452 citationstop 1%

C. elegansDrosophila

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedOct 8, 2018

Towards region-specific propagation of protein functions

Da Chen Emily Koo, Richard Bonneau

The paper introduces a method to predict protein function at specific regions using residue-level features, improving accuracy and region-specificity compared to whole-protein approaches.

9 citations

humanyeast

𝕏 PostBluesky