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Paper Details

Model performance and interpretability of semi-supervised generative adversarial networks to predict oncogenic variants with unlabeled data.
BMC Bioinformatics
1
2023
COSMIC, SGAN, cancer, functional, genetic variants, human, non-coding variants, oncogenic, oncogenic variants
Author NameAffiliation
Kajia CaoChildren's Hospital of Philadelphia
Marilyn M LiChildren's Hospital of Philadelphia
Marilyn M LiPerelman School of Medicine, University of Pennsylvania
Marilyn M LiChildren's Hospital of Philadelphia
Marilyn M LiPerelman School of Medicine, University of Pennsylvania
Kai WangRaymond G. Perelman Center for Cellular and Molecular Therapeutics, Children's Hospital of Philadelphia
Kai WangPerelman School of Medicine, University of Pennsylvania
Kai WangRaymond G. Perelman Center for Cellular and Molecular Therapeutics, Children's Hospital of Philadelphia
Kai WangPerelman School of Medicine, University of Pennsylvania
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