Abstract:
:Omics, such as genomics, transcriptome and proteomics, has been affected by the era of big data. A huge amount of high dimensional and complex structured data has made it no longer applicable for conventional machine learning algorithms. Fortunately, deep learning technology can contribute toward resolving these challenges. There is evidence that deep learning can handle omics data well and resolve omics problems. This survey aims to provide an entry-level guideline for researchers, to understand and use deep learning in order to solve omics problems. We first introduce several deep learning models and then discuss several research areas which have combined omics and deep learning in recent years. In addition, we summarize the general steps involved in using deep learning which have not yet been systematically discussed in the existent literature on this topic. Finally, we compare the features and performance of current mainstream open source deep learning frameworks and present the opportunities and challenges involved in deep learning. This survey will be a good starting point and guideline for omics researchers to understand deep learning.
journal_name
Brief Funct Genomicsjournal_title
Briefings in functional genomicsauthors
Zhang Z,Zhao Y,Liao X,Shi W,Li K,Zou Q,Peng Sdoi
10.1093/bfgp/ely030subject
Has Abstractpub_date
2019-02-14 00:00:00pages
41-57issue
1eissn
2041-2649issn
2041-2657pii
5107348journal_volume
18pub_type
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journal_title:Briefings in functional genomics
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journal_title:Briefings in functional genomics
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更新日期:2016-05-01 00:00:00
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journal_title:Briefings in functional genomics
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journal_title:Briefings in functional genomics
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更新日期:2012-07-01 00:00:00
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更新日期:2019-03-22 00:00:00
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journal_title:Briefings in functional genomics
pub_type: 杂志文章,评审
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更新日期:2016-03-01 00:00:00
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journal_title:Briefings in functional genomics
pub_type: 杂志文章
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更新日期:2013-07-01 00:00:00
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doi:10.1093/bfgp/elx038
更新日期:2018-03-01 00:00:00
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journal_title:Briefings in functional genomics
pub_type: 更正并重新发布的文章,杂志文章,评审
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更新日期:2010-03-01 00:00:00
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journal_title:Briefings in functional genomics
pub_type: 杂志文章,评审
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