- Tytuł:
- Using machine learning and big data to explore the drug resistance landscape in HIV.
- Autorzy:
- Corporate Authors:
- UK HIV Drug Resistance Database
- Źródło:
- PLoS computational biology [PLoS Comput Biol] 2021 Aug 26; Vol. 17 (8), pp. e1008873. Date of Electronic Publication: 2021 Aug 26 (Print Publication: 2021).
- Typ publikacji:
- Journal Article; Research Support, Non-U.S. Gov't
- MeSH Terms:
-
Big Data*
Supervised Machine Learning*
Drug Resistance, Viral/*genetics
HIV Infections/*drug therapy
HIV Infections/*virology
HIV-1/*drug effects
HIV-1/*genetics
Africa ; Anti-HIV Agents/pharmacology ; Bayes Theorem ; Computational Biology ; Databases, Genetic ; Decision Trees ; Epistasis, Genetic ; Genes, Viral ; HIV Reverse Transcriptase/antagonists & inhibitors ; HIV Reverse Transcriptase/chemistry ; HIV Reverse Transcriptase/genetics ; Humans ; Logistic Models ; Models, Genetic ; Mutation ; United Kingdom
Czasopismo naukowe