MCentridFS: a tool for identifying module biomarkers for multi-phenotypes from high-throughput data

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MCentridFS: a tool for identifying module biomarkers for multi-phenotypes from high-throughput data is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1039/C4MB00325J
P698PubMed publication ID25099602

P2093author name stringLuonan Chen
Tao Zeng
Wanwei Zhang
Zhenshu Wen
P2860cites workHallmarks of Cancer: The Next GenerationQ22252312
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Methylome analysis and integrative profiling of human HCCs identify novel protumorigenic factorsQ39332805
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P433issue11
P921main subjectbiomarkerQ864574
P304page(s)2870-2875
P577publication date2014-11-01
P1433published inMolecular BioSystemsQ3319467
P1476titleMCentridFS: a tool for identifying module biomarkers for multi-phenotypes from high-throughput data
P478volume10

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cites work (P2860)
Q45943371Computer-aided biomarker discovery for precision medicine: data resources, models and applications.
Q38706530Dysfunction of PLA2G6 and CYP2C44-associated network signals imminent carcinogenesis from chronic inflammation to hepatocellular carcinoma
Q35894877Identifying critical differentiation state of MCF-7 cells for breast cancer by dynamical network biomarkers
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Q47668612Interactions Between Genetics, Lifestyle, and Environmental Factors for Healthcare
Q35743304Unravelling personalized dysfunctional gene network of complex diseases based on differential network model

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