131 citations
- University of CambridgeGB4 papers
- Medical University of ViennaAT3 papers
- Novartis (Switzerland)CH3 papers
- University of ManchesterGB3 papers
- Addenbrooke's HospitalGB2 papers
- AstraZeneca (Australia)AU2 papers
- AstraZeneca (Sweden)SE2 papers
- Cambridge University Hospitals NHS Foundation TrustGB2 papers
- Genomics (United Kingdom)GB2 papers
- Imperial College LondonGB2 papers
- Princeton UniversityUS2 papers
- Roche (Switzerland)CH2 papers
Showing 2021 · cs.LGShow all
2 papers · 2 filters
cs.LG2021
Implications of Topological Imbalance for Representation Learning on Biomedical Knowledge Graphs
Stephen Bonner, Ufuk Kirik, Ola Engkvist +2
Adoption of recently developed methods from machine learning has given rise to creation of drug-discovery knowledge graphs (KG) that utilize the interconnected nature of the domain…
cs.LG2021★ 10 cited
Quantifying sources of uncertainty in drug discovery predictions with probabilistic models
Stanley E. Lazic, Dominic P. Williams
Knowing the uncertainty in a prediction is critical when making expensive investment decisions and when patient safety is paramount, but machine learning (ML) models in drug discov…