Author

Jun Chen

King Abdullah University of Science and TechnologyORCID 0000-0001-8883-0970Unclaimed ORCID profile · follow to get notified of new preprints

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Jun Chen12 papers · Mayo Clinic

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Assay:protein sequence· 1

Frequent Co-Authors

Robert HoehndorfiD· 2 shared Azza AlthagafiiD· 1 shared Jesper N. TegneriD· 1 shared Nicholas J DimonacoiD· 1 shared Şenay KafkasiD· 1 shared Wang Liu-WeiiD· 1 shared

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2020-2021 · peak 1/yr

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6 top collaborators · 11 mutual co-author links

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2 shared papersBioinformatics

Robert HoehndorfORCID

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2 papers

Recent·Most cited

BioinformaticsBioinformaticsPeer-reviewedMar 1, 2021

DeepViral: infectious disease phenotypes improve prediction of novel virus-host interactions

Wang Liu-Wei, Şenay Kafkas, Jun Chen…·Robert Hoehndorf

DeepViral improves prediction of virus-host protein interactions by incorporating disease phenotypes and protein sequences.

76 citationstop 4%

humanprotein sequence

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BioinformaticsBioinformaticsPeer-reviewedSep 28, 2020

Predicting candidate genes from phenotypes, functions, and anatomical site of expression

Jun Chen, Azza Althagafi, Robert Hoehndorf

The paper develops a graph-based machine learning method to predict gene-disease associations using phenotypes, functions, and anatomical expression sites, outperforming existing methods.

57 citations

𝕏 PostBluesky