Sequence Based Prediction of DNA-Binding Proteins Based on Hybrid Feature Selection Using Random Forest and Gaussian Naïve Bayes - Lou, Wangchao; Wang, Xiaoqing; Chen, Fan; Chen, Yixiao; Jiang, Bo; Zhang, Hua (PloS one, 2014)
Keywords: Algorithms; Amino acid sequence; Amino acids; Amino Acids - chemistry; Amino Acids - metabolism; Animals; Artificial intelligence; Basis functions; Bayes Theorem; Bayesian analysis; Bioinformatics; Biology; Classifiers; Computer Science; Datasets; Datasets as Topic; Decision trees; Deoxyribonucleic acid; DNA; DNA - chemistry; DNA - metabolism; DNA-binding protein; DNA-Binding Proteins - chemistry; DNA-Binding Proteins - metabolism; Engineering; Forest management; Functions (mathematics); Gene expression; Gene regulation; Humans; Mathematical analysis; Mathematics; Methods; Neural networks; Normal Distribution; Nucleotide sequence; Position-Specific Scoring Matrices; Predictions; Protein structure; Protein Structure, Secondary; Proteins; Radial basis function; Ribonucleic acid; RNA; RNA-binding protein; RNA-Binding Proteins - chemistry; RNA-Binding Proteins - metabolism; ROC Curve; Secondary structure; Sequence Analysis, Protein - statistics & numerical data; Solvents; China