SkipCPP-Pred: an improved and promising sequence-based predictor for predicting cell-penetrating peptides - Wei, Leyi; Tang, Jijun; Zou, Quan (BMC genomics, 2017)
Keywords: Accuracy; Adaptive algorithms; Adaptive k-skip-n-gram features; Algorithms; Amino Acid Sequence; Amino acids; Animal Genetics and Genomics; Artificial intelligence; Bias; Bioinformatics; Biomedical and Life Sciences; Cancer; Cell permeability; Cell-penetrating peptide; Cell-Penetrating Peptides - chemistry; Computation; Computational Biology - methods; Computer applications; Datasets; Gene therapy; Genomics; Internet; Life Sciences; Machine learning; Mathematical models; Methods; Microarrays; Microbial Genetics and Genomics; Peptides; Performance prediction; Plant Genetics and Genomics; Prediction models; Proteins; Proteomics; Redundancy; Research methodology; State of the art; Support vector machines; Adaptive k-skip-n-gram features; Machine learning; Cell-penetrating peptide