New Results
ASTER: A Method to Predict Clinically Actionable Synthetic Lethal Interactions
View ORCID ProfileHerty Liany, View ORCID ProfileAnand Jeyasekharan, View ORCID ProfileVaibhav Rajan
doi: https://doi.org/10.1101/2020.10.27.356717
Herty Liany
1Department of Computer Science, School of Computing, National University of Singapore,
Anand Jeyasekharan
2Cancer Science Institute, National University of Singapore
3National University Hospital, Singapore,
Vaibhav Rajan
4Department of Information Systems and Analytics, School of Computing, National University of Singapore,
Article usage
Posted October 28, 2020.
ASTER: A Method to Predict Clinically Actionable Synthetic Lethal Interactions
Herty Liany, Anand Jeyasekharan, Vaibhav Rajan
bioRxiv 2020.10.27.356717; doi: https://doi.org/10.1101/2020.10.27.356717
Subject Area
Subject Areas
- Biochemistry (11752)
- Bioengineering (8752)
- Bioinformatics (29200)
- Biophysics (14974)
- Cancer Biology (12096)
- Cell Biology (17411)
- Clinical Trials (138)
- Developmental Biology (9421)
- Ecology (14182)
- Epidemiology (2067)
- Evolutionary Biology (18308)
- Genetics (12245)
- Genomics (16803)
- Immunology (11869)
- Microbiology (28097)
- Molecular Biology (11594)
- Neuroscience (60969)
- Paleontology (451)
- Pathology (1871)
- Pharmacology and Toxicology (3238)
- Physiology (4959)
- Plant Biology (10427)
- Synthetic Biology (2886)
- Systems Biology (7340)
- Zoology (1651)