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
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 , computer science , protein secondary structure , non coding rna , nucleic acid structure , rna , computational biology , coding (social sciences) , function (biology) , sequence (biology) , source code , artificial intelligence , bioinformatics , machine learning , gene , biology , genetics , mathematics , biochemistry , statistics , operating system
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