DeepCPP: a deep neural network based on nucleotide bias information and minimum distribution similarity feature selection for RNA coding potential prediction.
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%0 Journal Article
%1 journals/bib/ZhangJFK21
%A Zhang, Yu
%A Jia, Cangzhi
%A Fullwood, Melissa Jane
%A Kwoh, Chee Keong
%D 2021
%J Briefings Bioinform.
%K dblp
%N 2
%P 2073-2084
%T DeepCPP: a deep neural network based on nucleotide bias information and minimum distribution similarity feature selection for RNA coding potential prediction.
%U http://dblp.uni-trier.de/db/journals/bib/bib22.html#ZhangJFK21
%V 22
@article{journals/bib/ZhangJFK21,
added-at = {2021-06-01T00:00:00.000+0200},
author = {Zhang, Yu and Jia, Cangzhi and Fullwood, Melissa Jane and Kwoh, Chee Keong},
biburl = {https://www.bibsonomy.org/bibtex/28060a7b71be795896a67cf39e9df12df/dblp},
ee = {https://www.wikidata.org/entity/Q90750224},
interhash = {ab605b3438560ca439e09e033271bd84},
intrahash = {8060a7b71be795896a67cf39e9df12df},
journal = {Briefings Bioinform.},
keywords = {dblp},
number = 2,
pages = {2073-2084},
timestamp = {2024-04-08T19:24:40.000+0200},
title = {DeepCPP: a deep neural network based on nucleotide bias information and minimum distribution similarity feature selection for RNA coding potential prediction.},
url = {http://dblp.uni-trier.de/db/journals/bib/bib22.html#ZhangJFK21},
volume = 22,
year = 2021
}
