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Adaptive Somatic Mutations Calls with Deep Learning and Semi-Simulated Data
Remi Torracinta, Laurent Mesnard, Susan Levine, Rita Shaknovich, Maureen Hanson, Susan Levine
doi: https://doi.org/10.1101/079087
Remi Torracinta
1The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medical College, New York, NY, United States of America;Department of Physiology and Biophysics,Weill Cornell Medical College, New York, NY, United States of America
Laurent Mesnard
2INSERM UMR1155 et Service des Urgences Néphrologiques et Transplantation Rénale, APHP, Hôpital Tenon, Paris, France, Sorbonne Universités, UPMC Université Paris 06, Paris, France
Susan Levine
4Department of Molecular Biology and Genetics, Biotechnology Building, Cornell University, Ithaca, NY 14853 USA
5Levine Clinical Practice, 115 E 72nd St, NY 10021 USA
Rita Shaknovich
3Hematology and Oncology Division, Department of Medicine, Weill Cornell Medical College Department of Medicine, New York, NY 20021 USA
Maureen Hanson
4Department of Molecular Biology and Genetics, Biotechnology Building, Cornell University, Ithaca, NY 14853 USA
Susan Levine
1The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medical College, New York, NY, United States of America;Department of Physiology and Biophysics,Weill Cornell Medical College, New York, NY, United States of America
2INSERM UMR1155 et Service des Urgences Néphrologiques et Transplantation Rénale, APHP, Hôpital Tenon, Paris, France, Sorbonne Universités, UPMC Université Paris 06, Paris, France
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Posted October 04, 2016.
Adaptive Somatic Mutations Calls with Deep Learning and Semi-Simulated Data
Remi Torracinta, Laurent Mesnard, Susan Levine, Rita Shaknovich, Maureen Hanson, Susan Levine
bioRxiv 079087; doi: https://doi.org/10.1101/079087
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