CARD 2023: expanded curation, support for machine learning, and resistome prediction at the Comprehensive Antibiotic Resistance Database.
Brian P. AlcockWilliam HuynhRomeo ChalilKeaton W. SmithAmogelang R. RaphenyaMateusz A. WlodarskiArman EdalatmandAaron J. PetkauSohaib A. SyedKara K. TsangSheridan J. C. BakerMugdha DaveMadeline C. McCarthyKaryn M. MukiriJalees A. NasirBahar GolbonHamna ImtiazXingjian JiangKomal KaurMegan KwongZi Cheng LiangKeyu C. NiuPrabakar ShanJasmine Y. J. YangKristen L. GrayGemma HoadBaofeng JiaTimsy BhandoLindsey A. CarfraeMaya A. FarhaShawn FrenchRodion GordzevichKenneth RachwalskiMegan M. TuEmily BordeleauDamion M. DooleyEmma J. GriffithsHaley L. ZubykEric D. BrownFinlay MaguireRobert G. BeikoWilliam W. L. HsiaoFiona S. L. BrinkmanGary H. Van DomselaarAndrew G. McArthurPublished in: Nucleic Acids Res. (2023)
Keyphrases
- database
- machine learning
- databases
- prediction accuracy
- database systems
- relational databases
- escherichia coli
- learning systems
- database management systems
- computer vision
- neural network
- expert systems
- computational intelligence
- data mining
- prediction model
- relational database management systems
- data analysis
- data model
- query language
- end users
- knowledge acquisition
- learning algorithm
- machine learning methods
- oracle database
- machine learning approaches