Alexander S. Baras | John-William Sidhom, M.D.,Ph.D.

Latest

Multiple-instance learning of somatic mutations for the classification of tumour type and the prediction of microsatellite status
Probabilistic mixture models improve calibration of panel-derived tumor mutational burden in the context of both tumor-normal and tumor-only sequencing
Deep learning reveals predictive sequence concepts within immune repertoires to immunotherapy
Deep learning reveals predictive sequence concepts within immune repertoires to immunotherapy
Deep learning identifies antigenic determinants of severe SARS-CoV-2 infection within T-cell repertoires
DeepAPL
Deep learning for diagnosis of acute promyelocytic leukemia via recognition of genomically imprinted morphologic features
DeepTCR
DeepTCR is a deep learning framework for revealing sequence concepts within T-cell repertoires
ExCYT
Deep Learning for Distinguishing Morphological Features of Acute Promyelocytic Leukemia
Integrative Tumor and Immune Cell Multi-omic Analyses Predict Response to Immune Checkpoint Blockade in Melanoma
Aggregation Tool for Genomic Concepts (ATGC): A deep learning framework for sparse genomic measures and its application to tumor mutational burden
Analysis of SARS-CoV-2 specific T-cell receptors in ImmuneCode reveals cross-reactivity to immunodominant Influenza M1 epitope
DeepTCR: A Deep Learning Framework for Revealing Structural Concepts within TCR Repertoire
DeepTCR: A Deep Learning Framework for Revealing Structural Concepts within TCR Repertoire
DeepTCR: a deep learning framework for revealing structural concepts within TCR Repertoire
Deep Learning of the Immune Synapse
The Mutation-Associated Neoantigen Functional Expansion of Specific T Cells (MANAFEST) Assay: A Sensitive Platform for Monitoring Antitumor Immunity
Convolving Pre-Trained Convolutional Neural Networks at Various Magnifications to Extract Diagnostic Features for Digital Pathology
ICIAR 2018