Abstract：
:Emerging evidence indicates the existence of a new class of cancer genes that act as "signal linkers" coordinating oncogenic signals between mutated and differentially expressed genes. While frequently mutated oncogenes and differentially expressed genes, which we term Class I cancer genes, are readily detected by most analytical tools, the new class of cancer-related genes, i.e., Class II, escape detection because they are neither mutated nor differentially expressed. Given this hypothesis, we developed a Machine Learning-Assisted Network Inference (MALANI) algorithm, which assesses all genes regardless of expression or mutational status in the context of cancer etiology. We used 8807 expression arrays, corresponding to 9 cancer types, to build more than 2 × 108 Support Vector Machine (SVM) models for reconstructing a cancer network. We found that ~3% of ~19,000 not differentially expressed genes are Class II cancer gene candidates. Some Class II genes that we found, such as SLC19A1 and ATAD3B, have been recently reported to associate with cancer outcomes. To our knowledge, this is the first study that utilizes both machine learning and network biology approaches to uncover Class II cancer genes in coordinating functionality in cancer networks and will illuminate our understanding of how genes are modulated in a tissue-specific network contribute to tumorigenesis and therapy development.
journal_name
Sci Repjournal_title
Scientific reportsauthors
Ghanat Bari M,Ung CY,Zhang C,Zhu S,Li Hdoi
10.1038/s41598-017-07481-5subject
Has Abstractpub_date
2017-08-01 00:00:00pages
6993issue
1issn
2045-2322pii
10.1038/s41598-017-07481-5journal_volume
7pub_type
杂志文章abstract：:Serotonin (5-HT) is an important neurotransmitter and neuromodulator that controls a variety of sensory and motor functions through 5-HT receptors (5-HTRs). The 5-HT4R subfamily is linked to Gs proteins, which activate adenylyl cyclases (ACs), and is involved in many responses in peripheral organs. In this study, the ...
journal_title：Scientific reports
pub_type： 杂志文章
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更新日期：2017-01-06 00:00:00
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journal_title：Scientific reports
pub_type： 杂志文章
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更新日期：2017-02-20 00:00:00
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journal_title：Scientific reports
pub_type： 杂志文章
doi：10.1038/s41598-017-02757-2
更新日期：2017-06-01 00:00:00
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journal_title：Scientific reports
pub_type： 杂志文章
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pub_type： 杂志文章
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pub_type： 杂志文章
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pub_type： 杂志文章
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journal_title：Scientific reports
pub_type： 杂志文章
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journal_title：Scientific reports
pub_type： 杂志文章
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更新日期：2018-09-03 00:00:00
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journal_title：Scientific reports
pub_type： 已发布勘误
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更新日期：2020-03-13 00:00:00
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journal_title：Scientific reports
pub_type： 杂志文章
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更新日期：2013-12-16 00:00:00
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pub_type： 杂志文章
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pub_type： 杂志文章
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journal_title：Scientific reports
pub_type： 杂志文章
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journal_title：Scientific reports
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更新日期：2017-10-23 00:00:00
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pub_type： 杂志文章
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更新日期：2014-10-10 00:00:00
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journal_title：Scientific reports
pub_type： 杂志文章
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更新日期：2012-01-01 00:00:00
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journal_title：Scientific reports
pub_type： 杂志文章
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更新日期：2016-08-11 00:00:00
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journal_title：Scientific reports
pub_type： 杂志文章
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更新日期：2017-08-16 00:00:00
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journal_title：Scientific reports
pub_type： 杂志文章
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更新日期：2016-04-19 00:00:00
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journal_title：Scientific reports
pub_type： 杂志文章
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更新日期：2017-09-19 00:00:00
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journal_title：Scientific reports
pub_type： 杂志文章
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