John-William Sidhom
0000-0002-5575-0285
5 papers found
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Deep learning reveals predictive sequence concepts within immune repertoires to immunotherapy
Deep learning for diagnosis of acute promyelocytic leukemia via recognition of genomically imprinted morphologic features
DeepTCR: a deep learning framework for understanding T-cell receptor sequence signatures within complex T-cell repertoires
Convolving Pre-Trained Convolutional Neural Networks at Various Magnifications to Extract Diagnostic Features for Digital Pathology
AI-MHC: an allele-integrated deep learning framework for improving Class I & Class II HLA-binding predictions
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