Author

Bryce Henroid

University of California San Diego

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 Organism:human· 1 Assay:protein sequence· 1 Approach:statistical model· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Gene Wei-Ming YeoiD· 1 shared Hui Qing TaniD· 1 shared Joshua AhdoutiD· 1 shared Joy S. XiangiD· 1 shared Katannya Kapeli· 1 shared Katherine L. RothameliD· 1 shared Kristopher W. BrannaniD· 1 shared Limsoon WongiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Gene Wei-Ming YeoORCID

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1 paper

Recent·Most cited

HydRA: Deep-learning models for predicting RNA-binding capacity from protein interaction association context and protein sequence

Wenhao Jin, Kristopher W. Brannan, Katannya Kapeli, Samuel S. Park, Hui Qing Tan, Maya L. Gosztyla, Mayuresh Mujumdar, Joshua Ahdout, Bryce Henroid, Katherine L. Rothamel, Joy S. Xiang, Limsoon Wong, Gene Wei-Ming Yeo

HydRA predicts RNA-binding capacity using protein interaction and sequence data, identifying novel RNA-binding domains with high specificity and sensitivity.

Molecular Cell · Jul 1, 2023Peer-reviewedBioinformatics