A machine learning classifier trained on cancer transcriptomes detects NF1 inactivation signal in glioblastoma - Way, Gregory P.; Allaway, Robert J.; Bouley, Stephanie J.; Fadul, Camilo E.; Sanchez, Yolanda; Greene, Casey S. (BMC genomics, 2017)
Keywords: Analysis; Animal Genetics and Genomics; Biomedical and Life Sciences; Brain cancer; Brain tumors; Cancer; Cell Line, Tumor; Classifiers; Computational Biology - methods; Deactivation; Deoxyribonucleic acid; DNA; DNA microarrays; Gene expression; Gene mutation; Gene Silencing; Genetic disorders; Genomes; Genomics; Glioblastoma; Glioblastoma - pathology; Glioma; Glioma cells; Health aspects; Human and rodent genomics; Humans; Inactivation; Kinases; Learning algorithms; Lethality; Life Sciences; Machine Learning; Microarrays; Microbial Genetics and Genomics; Mutation; Neurofibroma; Neurofibromin 1; Neurofibromin 1 - genetics; Neurological disorders; Phosphorylation; Plant Genetics and Genomics; Precision medicine; Proteins; Proteomics; Research Article; Ribonucleic acid; RNA; Transcription; Transcription factors; Transcriptome; Tumor suppressor genes; Tumors; Classifier; Machine Learning; NF1 Inactivation; Glioblastoma; Neurofibromatosis Type I; Cancer