SORFPP: Enhancing rich sequence-driven information to identify SEPs based on fused framework on validation datasets - Feng, Hongqi; Nie, Qi; Yang, Sen (PloS one, 2025)
Keywords: Algorithms; Amino acid sequence; Amino acids; Analysis; Biology and Life Sciences; Computational Biology - methods; Computer and Information Sciences; Computer applications; Correlation coefficient; Correlation coefficients; Datasets; Deep learning; DNA sequencing; Ensemble learning; Gene expression; Gene sequencing; Genomes; Genomics; Humans; Identification; Identification and classification; Machine learning; Methods; MicroRNAs; Nucleotide sequencing; Open reading frames; Open Reading Frames - genetics; Peptides; Peptides - genetics; Proteins; Regression models; Research and Analysis Methods; RNA, Long Noncoding - genetics; Social Sciences; Software; Whole genome sequencing; Taiwan; China