Using machine learning and big data to explore the drug resistance landscape in HIV.
Luc BlasselAnna TostevinChristian Julian Villabona-ArenasMartine PeetersStéphane HuéOlivier GascuelPublished in: PLoS Comput. Biol. (2021)
Keyphrases
- big data
- drug resistance
- machine learning
- human immunodeficiency virus
- data science
- data analysis
- cloud computing
- knowledge discovery
- data management
- big data analytics
- data processing
- social media
- business intelligence
- natural language processing
- vast amounts of data
- predictive modeling
- machine learning methods
- data mining
- feature selection
- temporal sequences
- support vector machine
- decision trees
- computational biology
- support vector
- hiv protease
- massive datasets
- information extraction
- model selection
- statistical learning
- data warehousing
- video sequences
- information technology
- decision support
- supervised learning