Gene selection in cancer classification using sparse logistic regression with Bayesian regularization - Cawley, Gavin C.; Talbot, Nicola L. C. (Bioinformatics, 2006)
Keywords: Algorithms; Bayes Theorem; Biological and medical sciences; Biomarkers, Tumor - analysis; Classification; Diagnosis, Computer-Assisted - methods; Fundamental and applied biological sciences. Psychology; Gene Expression Profiling - methods; General aspects; Humans; Leukemia; Logistic Models; Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects); Models, Biological; Neoplasm Proteins - analysis; Neoplasms - classification; Neoplasms - diagnosis; Neoplasms - metabolism; Oligonucleotide Array Sequence Analysis - methods; Regression Analysis; Reproducibility of Results; Sensitivity and Specificity; MATLAB software; Selection; Malignant tumor; Gene expression; Vector method; Algorithm; Original document; Logistic regression; Regulation(control); Gene; Classification; Bayes network; Bioinformatics