Author

Rui Fa

The Francis Crick InstituteORCID 0000-0003-4588-7971Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Approach:deep learning· 2 Research Focus:protein structure prediction· 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

Cen WaniD· 3 shared David T. JonesiD· 3 shared Domenico CozzettoiD· 3 shared Ahmet Süreyya RifaioğluiD· 1 shared Alan J. MedlariD· 1 shared Alberto PaccanaroiD· 1 shared Alessandro PetriniiD· 1 shared Alex Alves FreitasiD· 1 shared

Activity by Year

2018-2019 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersBioinformatics

Cen WanORCID

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3 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

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BioinformaticsPLoS ONEPeer-reviewedJul 23, 2019

Using deep maxout neural networks to improve the accuracy of function prediction from protein interaction networks

Cen Wan, Domenico Cozzetto, Rui Fa, David T. Jones

STRING2GO uses deep maxout neural networks to improve protein function prediction from interaction networks, outperforming existing methods in accuracy.

27 citations

protein structuredeep learning

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BioinformaticsPLoS ONEPeer-reviewedJun 11, 2018

Predicting Human Protein Function with Multi-task Deep Neural Networks

Rui Fa, Domenico Cozzetto, Cen Wan, David T. Jones

This paper introduces a multi-task deep neural network for protein function prediction, showing improved accuracy over baseline methods and single-task predictors.

87 citationstop 4%

humanprotein sequence

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