Phenotype prediction and characterization of 25 pharmacogenes in Thais from whole genome sequencing for clinical implementation
Sign Up to like & getrecommendations! Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-76085-3
Abstract: Publicly available pharmacogenomics (PGx) databases enable translation of genotype data into clinically actionable information. As variation within pharmacogenes is population-specific, this study investigated the spectrum of 25 clinically relevant pharmacogenes in the Thai population (n = 291)… read more here.
Keywords: variation; phenotype prediction; whole genome; genome sequencing ... See more keywords
A comparison of classical and machine learning-based phenotype prediction methods on simulated data and three plant species
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2022.932512
Abstract: Genomic selection is an integral tool for breeders to accurately select plants directly from genotype data leading to faster and more resource-efficient breeding programs. Several prediction methods have been established in the last few years.… read more here.
Keywords: prediction methods; machine learning; phenotype prediction; prediction ... See more keywords
FSF-GA: A Feature Selection Framework for Phenotype Prediction Using Genetic Algorithms
Sign Up to like & getrecommendations! Published in 2023 at "Genes"
DOI: 10.3390/genes14051059
Abstract: (1) Background: Phenotype prediction is a pivotal task in genetics in order to identify how genetic factors contribute to phenotypic differences. This field has seen extensive research, with numerous methods proposed for predicting phenotypes. Nevertheless,… read more here.
Keywords: framework phenotype; phenotype prediction; selection framework; prediction ... See more keywords