Gene expression profiling of breast cancer survivability by pooled cDNA microarray analysis using logistic regression, artificial neural networks and decision trees - Chou, Hsiu-Ling; Yao, Chung-Tay; Su, Sui-Lun; Lee, Chia-Yi; Hu, Kuang-Yu; Terng, Harn-Jing; Shih, Yun-Wen; Chang, Yu-Tien; Lu, Yu-Fen; Chang, Chi-Wen; Wahlqvist, Mark L; Wetter, Thomas; et al. (BMC bioinformatics, 2013)
Keywords: Algorithms; Analysis; Anopheles; Bioinformatics; Biomedical and Life Sciences; Breast cancer; Breast Neoplasms - genetics; Cancer; Cancer therapies; Comparative analysis; Comparative genomics; Computational Biology/Bioinformatics; Computer Appl. in Life Sciences; Conversion; Data mining; Databases, Genetic; Decision Trees; DNA damage; DNA microarrays; DNA, Complementary - genetics; Female; Gene expression; Gene Expression Profiling; Genes; Genetic aspects; Hospitals; Humans; Life Sciences; Logistic Models; Logistics; Medical research; Microarrays; Neural networks; Neural Networks (Computer); Oligonucleotide Array Sequence Analysis; Physiological aspects; Prognosis; Recurrence; Research Article; Sample Size; Standard deviation; Statistical methods; Studies; Survival Analysis; Variables; Logistic regression; Breast cancer; Artificial neural network; Microarray; Decision tree