Using machine learning algorithms to identify genes essential for cell survival - Philips, Santosh; Wu, Heng-Yi; Li, Lang (BMC bioinformatics, 2017)
Keywords: Algorithms; Analysis; Animals; Apoptosis; Artificial intelligence; Bioinformatics; Biomedical and Life Sciences; Biotechnology; Cancer; Cell Line; Cell survival; Cell Survival - genetics; Cells (Biology); Colorectal cancer; Computational Biology/Bioinformatics; Computer Appl. in Life Sciences; Data processing; Disease; Disruption; Gene essentiality; Gene expression; Genes; Genes, Essential; Health aspects; Humans; Information processing; Interference; Kinases; Knowledge; Learning algorithms; Life Sciences; Literature mining; Machine Learning; Medical prognosis; Microarrays; Neoplasms - genetics; Neoplasms - pathology; PubMed; Reproducibility of Results; Ribonucleic acid; RNA; RNA Interference; RNA, Small Interfering - metabolism; RNA-mediated interference; Studies; Survival; Tumor cell lines; Vascular endothelial growth factor; Literature mining; Machine learning; Gene essentiality