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CancerVar: an Artificial Intelligence empowered platform for clinical interpretation of somatic mutations in cancer
Quan Li, Zilin Ren, Kajia Cao, Marilyn M. Li, Kai Wang, Yunyun Zhou
doi: https://doi.org/10.1101/2020.10.06.323162
Quan Li
1Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Ontario, M5G2C1, Canada
2Raymond G. Perelman Center for Cellular and Molecular Therapeutics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
Zilin Ren
2Raymond G. Perelman Center for Cellular and Molecular Therapeutics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
Kajia Cao
4Division of Genomic Diagnostics, Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA, 19104, USA
Marilyn M. Li
3Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
4Division of Genomic Diagnostics, Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA, 19104, USA
Kai Wang
2Raymond G. Perelman Center for Cellular and Molecular Therapeutics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
3Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
Yunyun Zhou
2Raymond G. Perelman Center for Cellular and Molecular Therapeutics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
Posted March 16, 2021.
CancerVar: an Artificial Intelligence empowered platform for clinical interpretation of somatic mutations in cancer
Quan Li, Zilin Ren, Kajia Cao, Marilyn M. Li, Kai Wang, Yunyun Zhou
bioRxiv 2020.10.06.323162; doi: https://doi.org/10.1101/2020.10.06.323162
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