Author

Gordon Chen

University of Nevada, Las Vegas

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:proteomics· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Christopher J. Giacoletto· 1 shared Houssemeddine Derbel· 1 shared Martin R. SchilleriD· 1 shared Qian LiuiD· 1 shared Ronald BenjaminiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

Christopher J. Giacoletto

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1 paper

Recent·Most cited

Accurate prediction of transcriptional activity of single missense variants in HIV Tat with deep learning

Houssemeddine Derbel, Christopher J. Giacoletto, Ronald Benjamin, Gordon Chen, Martin R. Schiller, Qian Liu

The paper predicts transcriptional activity of HIV Tat single missense variants using a deep learning model trained on GigaAssay experiments, achieving a high correlation with experimental results.

International Journal of Molecular Sciences · Mar 24, 2023Peer-reviewedBioinformatics