Author

Dipika Singh

Johns Hopkins UniversityORCID 0009-0006-9350-1905Unclaimed ORCID profile · follow to get notified of new preprints

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Dipika Singh1 paper

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:proteomics· 1

Frequent Co-Authors

Benjamin Alexander AlbertiD· 1 shared Kellie Nicole SmithiD· 1 shared Rachel KarchiniD· 1 shared Valsamo AnagnostouiD· 1 shared Xiaoshan M. ShaoiD· 1 shared Yunxiao YangiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

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6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Benjamin Alexander AlbertORCID

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1 paper

Recent·Most cited

BioinformaticsNature Machine IntelligencePeer-reviewedJul 20, 2023

Deep Neural Networks Predict MHC-I Epitope Presentation and Transfer Learn Neoepitope Immunogenicity

Benjamin Alexander Albert, Yunxiao Yang, Xiaoshan M. Shao…·Rachel Karchin

The paper introduces BigMHC, a deep learning model that predicts MHC-I epitopes and immunogenic neoepitopes with high accuracy, outperforming existing methods.

108 citationstop 1%

proteomicsdeep learning

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