New Results
Predicting and Visualizing STK11 Mutation in Lung Adenocarcinoma Histopathology Slides Using Deep Learning
View ORCID ProfileRunyu Hong, View ORCID ProfileWenke Liu, View ORCID ProfileDavid Fenyö
doi: https://doi.org/10.1101/2020.02.20.956557
Runyu Hong
1Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA
Wenke Liu
1Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA
David Fenyö
1Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA

Article usage
Posted December 15, 2021.
Predicting and Visualizing STK11 Mutation in Lung Adenocarcinoma Histopathology Slides Using Deep Learning
Runyu Hong, Wenke Liu, David Fenyö
bioRxiv 2020.02.20.956557; doi: https://doi.org/10.1101/2020.02.20.956557
Subject Area
Subject Areas
- Biochemistry (10382)
- Bioengineering (7698)
- Bioinformatics (26383)
- Biophysics (13553)
- Cancer Biology (10735)
- Cell Biology (15465)
- Clinical Trials (138)
- Developmental Biology (8510)
- Ecology (12844)
- Epidemiology (2067)
- Evolutionary Biology (16891)
- Genetics (11418)
- Genomics (15499)
- Immunology (10644)
- Microbiology (25269)
- Molecular Biology (10244)
- Neuroscience (54611)
- Paleontology (402)
- Pathology (1671)
- Pharmacology and Toxicology (2900)
- Physiology (4356)
- Plant Biology (9265)
- Synthetic Biology (2565)
- Systems Biology (6789)
- Zoology (1472)