Author

Christopher W. Szeto

ImmunityBio (United States)ORCID 0000-0002-2344-7716Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:ATAC-seq· 1 Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Charles Joseph VaskeiD· 1 shared Jeremi Sudol· 1 shared Kamil Wnuk· 1 shared Kevin Bijan GivechianiD· 1 shared Patrick Soon‐ShiongiD· 1 shared Shahrooz RabizadehiD· 1 shared

Activity by Year

2019-2019 · peak 1/yr

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6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Charles Joseph VaskeORCID

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1 paper

Recent·Most cited

Deep learning with implicit handling of tissue-specific phenomena predicts tumor DNA accessibility and immune activity

Kamil Wnuk, Jeremi Sudol, Kevin Bijan Givechian, Patrick Soon‐Shiong, Shahrooz Rabizadeh, Christopher W. Szeto, Charles Joseph Vaske

The paper develops a deep learning model to predict DNA accessibility and immune activity in tumors using RNA-seq data, achieving high accuracy across diverse genomic regions and cohorts.

iScience · Sep 14, 2019Peer-reviewedBioinformatics