Comparing feature selection and machine learning approaches for predicting CYP2D6 methylation from genetic variation.
Wei Jing FongHong Ming TanRishabh GargAi Ling TehHong PanVarsha GuptaBernadus KrishnaZou Hui ChenNatania Yovela PurwantoFabian YapKok Hian TanKok Yen Jerry ChanShiao-Yng ChanNicole GohNikita RaneEthel Siew Ee TanYuheng JiangMei HanMichael J. MeaneyDennis WangJussi KeppoGeoffrey Chern-Yee TanPublished in: Frontiers Neuroinformatics (2023)
Keyphrases
- machine learning approaches
- feature selection
- machine learning
- human genome
- machine learning methods
- machine learning algorithms
- single nucleotide polymorphisms
- feature extraction
- knn
- feature set
- feature subset
- feature space
- genome wide
- dna sequences
- genetic variation
- sequence data
- random forest
- data mining methods
- dimension reduction
- high dimensionality
- statistical methods