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Concepts and methods for transcriptome-wide prediction of chemical messenger RNA modifications with machine learning.

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第一作者： Pablo,Acera Mateos

第一单位： EMBL Australia Partner Laboratory Network at the Australian National University, Canberra, Australia.;The Shine-Dalgarno Centre for RNA Innovation, The John Curtin School of Medical Research, Australian National University, Canberra, Australia.;The Centre for Computational Biomedical Sciences, The John Curtin School of Medical Research, Australian National University, Canberra, Australia.

作者： Pablo,Acera Mateos ^[1] ; You,Zhou ^[2] ; Kathi,Zarnack ^[2] ; Eduardo,Eyras ^[1]

作者单位： EMBL Australia Partner Laboratory Network at the Australian National University, Canberra, Australia.;The Shine-Dalgarno Centre for RNA Innovation, The John Curtin School of Medical Research, Australian National University, Canberra, Australia.;The Centre for Computational Biomedical Sciences, The John Curtin School of Medical Research, Australian National University, Canberra, Australia. ^[1] Buchmann Institute for Molecular Life Sciences (BMLS), Goethe University Frankfurt, Max-von-Laue-Str. 15, 60438 Frankfurt a.M., Germany.;Institute of Molecular Biosciences, Goethe University Frankfurt, Max-von-Laue-Str. 15, 60438 Frankfurt a.M., Germany. ^[2]

关键词 RNA modifications deep learning direct RNA sequencing epitranscriptomics machine learning miCLIP

医学主题词 RNA, 信使(RNA, Messenger);RNA(RNA)

DOI 10.1093/bib/bbad163

PMID 37139545

发布时间 2023-05-23

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