Hexiang Peng, Yiqun Wu, Ren Zhou, Jin Jiang, Xi Chen, Mengying Wang, Tao Ren, Chihui Yu, Tao Wu
Comparison of self-efficacy among graduate teaching assistants before and after training
BMC medical education
micrornas mirnas emerged prominent layer regulation gene expression article offers salient current aspects machine learning ml tools approaches genome phenome mirna research first underline complexity analysis mirna function ranges modes biogenesis target diversity diverse biological conditions therefore imperative first ascertain mirna coding potential genomes understand regulatory mechanisms expression knowledge enables efficient classification mirna precursors identification mature forms respective target genes second one mirna target multiple mrnas vice versa another challenge assessment mirnamrna target interaction network furthermore longnoncoding rna lncrnaand circular rnas circrnas also contribute complexity ml used tackle challenges highdimensional data level present expert review covers 100 tools adopting various ml approaches pertaining example 1 mirna promoter prediction 2 precursor classification 3 mature mirna prediction 4 mirna target prediction 5 mirna lncrna mirnacircrna interactions 6 mirnamrna expression profiling 7 mirna regulatory module detection 8 mirnadisease association 9 mirna essentiality prediction taken together unpack critically examine highlight cuttingedge synergy ml approaches mirna research develop dynamic microlevel understanding human health diseases