Open AccessDeep learning predicts short non-coding RNA functions from only raw sequence data
Author(s) -
Teresa Noviello,
Francesco Ceccarelli,
Michele Ceccarelli,
Luigi Cerulo
Publication year - 2020
Publication title -
plos computational biology/plos computational biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.628
H-Index - 182
eISSN - 1553-7358
pISSN - 1553-734X
DOI - 10.1371/journal.pcbi.1008415
Subject(s) - nucleic acid secondary structure , protein secondary structure , computer science , non coding rna , rna , computational biology , nucleic acid structure , coding (social sciences) , sequence (biology) , function (biology) , scripting language , artificial intelligence , gene , machine learning , biology , genetics , mathematics , biochemistry , statistics , operating system