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Mining breast cancer genes with a network based noise-tolerant approach
Nie, Yaling; Yu, Jingkai
2013-06-25
Source PublicationBMC SYSTEMS BIOLOGY
Volume7Issue:0Pages:49
AbstractBackground: Mining novel breast cancer genes is an important task in breast cancer research. Many approaches prioritize candidate genes based on their similarity to known cancer genes, usually by integrating multiple data sources. However, different types of data often contain varying degrees of noise. For effective data integration, it's important to design methods that work robustly with respect to noise.
KeywordNetwork Breast Cancer Data Noise Noise Tolerance
SubtypeArticle
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
Indexed BySCI
Language英语
WOS KeywordPROTEIN-PROTEIN INTERACTIONS ; CANDIDATE DISEASE GENES ; ENRICHMENT ANALYSIS ; DATA FUSION ; PRIORITIZATION ; ONTOLOGY ; EXPRESSION ; PREDICTION ; RESOURCE ; ASSOCIATION
WOS Research AreaMathematical & Computational Biology
WOS SubjectMathematical & Computational Biology
WOS IDWOS:000321337500002
Citation statistics
Cited Times:10[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ipe.ac.cn/handle/122111/13685
Collection研究所(批量导入)
AffiliationChinese Acad Sci, Inst Proc Engn, Natl Key Lab Biochem Engn, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Nie, Yaling,Yu, Jingkai. Mining breast cancer genes with a network based noise-tolerant approach[J]. BMC SYSTEMS BIOLOGY,2013,7(0):49.
APA Nie, Yaling,&Yu, Jingkai.(2013).Mining breast cancer genes with a network based noise-tolerant approach.BMC SYSTEMS BIOLOGY,7(0),49.
MLA Nie, Yaling,et al."Mining breast cancer genes with a network based noise-tolerant approach".BMC SYSTEMS BIOLOGY 7.0(2013):49.
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