New Results
Learning the mutational landscape of the cancer genome
View ORCID ProfileMaxwell A. Sherman, Adam Yaari, Oliver Priebe, Felix Dietlein, Po-Ru Loh, Bonnie Berger
doi: https://doi.org/10.1101/2021.08.03.454669
Maxwell A. Sherman
1Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
2Harvard-MIT Health Sciences and Technology Program, Cambridge, Massachusetts, USA
3Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
4Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
Adam Yaari
1Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
4Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
5The Center for Brains, Minds and Machines of MIT and Harvard, Cambridge, Massachusetts, USA
Oliver Priebe
1Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
6Department of Physics, University of Pennsylvania, Philadelphia, PA, USA
Felix Dietlein
4Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
7Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
Po-Ru Loh
3Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
4Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
Bonnie Berger
1Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
2Harvard-MIT Health Sciences and Technology Program, Cambridge, Massachusetts, USA
4Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
8Department of Mathematics, Massachusetts Institute of Technology, Cambridge, MA, USA
Posted August 04, 2021.
Learning the mutational landscape of the cancer genome
Maxwell A. Sherman, Adam Yaari, Oliver Priebe, Felix Dietlein, Po-Ru Loh, Bonnie Berger
bioRxiv 2021.08.03.454669; doi: https://doi.org/10.1101/2021.08.03.454669
Subject Area
Subject Areas
- Biochemistry (11703)
- Bioengineering (8722)
- Bioinformatics (29127)
- Biophysics (14932)
- Cancer Biology (12048)
- Cell Biology (17359)
- Clinical Trials (138)
- Developmental Biology (9406)
- Ecology (14143)
- Epidemiology (2067)
- Evolutionary Biology (18268)
- Genetics (12220)
- Genomics (16766)
- Immunology (11841)
- Microbiology (28005)
- Molecular Biology (11552)
- Neuroscience (60808)
- Paleontology (450)
- Pathology (1864)
- Pharmacology and Toxicology (3231)
- Physiology (4939)
- Plant Biology (10384)
- Synthetic Biology (2877)
- Systems Biology (7333)
- Zoology (1642)