Improving Cancer Classification Accuracy Using Gene Pairs - Chopra, Pankaj; Lee, Jinseung; Kang, Jaewoo; Lee, Sunwon (PloS one, 2010)
Keywords: Accuracy; Algorithms; Artificial intelligence; Bayes Theorem; Bayesian analysis; Bioindicators; Bioinformatics; Biomarkers; Biomarkers, Tumor; Cancer; Cancer genetics; Carcinogenesis; Carcinogens; Classification; Communication; Comparative analysis; Computational Biology; Computational Biology/Transcriptional Regulation; Computer science; Computer Science/Information Technology; Data mining; Datasets; Decision analysis; Decision trees; Deregulation; Diagnostic tests; DNA microarrays; Gene expression; Gene Expression Regulation, Neoplastic; Genes; Humans; International conferences; Lung cancer; Lymphoma; Lymphomas; Medical diagnosis; Mesothelioma; Methods; Models, Biological; Models, Genetic; Models, Statistical; Neoplasms - classification; Neoplasms - diagnosis; Nervous system; Oligonucleotide Array Sequence Analysis; Prostate cancer; Reproducibility of Results; Sequence Analysis, DNA - methods; Support vector machines; Washington DC; United States--US