Machine learning classification of archaea and bacteria identifies novel predictive genomic features - Bobbo, Tania; Biscarini, Filippo; Yaddehige, Sachithra K.; Alberghini, Leonardo; Rigoni, Davide; Bianchi, Nicoletta; Taccioli, Cristian (BMC genomics, 2024)
Keywords: Algorithms; Animal Genetics and Genomics; Archaea; Archaea - classification; Archaea - genetics; Archaeabacteria; Bacteria; Bacteria - classification; Bacteria - genetics; Bioinformatics; Biomedical and Life Sciences; Classification; Datasets; Ecological niches; Entropy; Entropy (Information theory); Eukaryotes; Gene sequencing; Genes; Genetic aspects; Genetic code; Genetic research; Genome, Archaeal; Genome, Bacterial; Genomes; Genomic analysis; Genomics; Genomics - methods; Identification and classification; Learning algorithms; Life Sciences; Machine Learning; Microarrays; Microbial Genetics and Genomics; Microorganisms; Neural networks; Niche (Ecology); Non-coding RNA; Nucleotides; Phylogeny; Plant Genetics and Genomics; Probiotics; Proteomics; RNA, Transfer - genetics; rRNA; Topology; Transfer RNA; tRNA; Italy; Bacteria; Genomics; Archaea; Machine learning