Gene expression patterns combined with network analysis identify hub genes associated with bladder cancer

scientific article published on 15 April 2015

Gene expression patterns combined with network analysis identify hub genes associated with bladder cancer is …
instance of (P31):
scholarly articleQ13442814

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P8978DBLP publication IDjournals/candc/BiNLQD15
P356DOI10.1016/J.COMPBIOLCHEM.2015.04.001
P698PubMed publication ID25889321

P2093author name stringShuai Liu
Dongbin Bi
Kejia Ding
Hao Ning
Xinxiang Que
P304page(s)71-83
P577publication date2015-04-15
P1433published inComputational Biology and ChemistryQ2293538
P1476titleGene expression patterns combined with network analysis identify hub genes associated with bladder cancer
P478volume56

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cites work (P2860)
Q92282554Analysis of Differentially Expressed Genes in Coronary Artery Disease by Integrated Microarray Analysis
Q58571932Bioinformatics-based analysis reveals elevated MFSD12 as a key promoter of cell proliferation and a potential therapeutic target in melanoma
Q59800548Comparison of gene expression in liver regeneration and hepatocellular carcinoma formation
Q64233358Crosstalk analysis of dysregulated pathways in preeclampsia
Q57285709Detection of epigenetic field defects using a weighted epigenetic distance-based method
Q55440708FABP4 suppresses proliferation and invasion of hepatocellular carcinoma cells and predicts a poor prognosis for hepatocellular carcinoma.
Q58580243Gene Co-expression Network Reveals Potential New Genes Related to Sugarcane Bagasse Degradation in RUT-30
Q64248122Identification of Hub Genes Associated With Progression and Prognosis in Patients With Bladder Cancer
Q38429281Identification of prognostic markers of high grade prostate cancer through an integrated bioinformatics approach.
Q90631722Molecular Mechanism of Aflatoxin-Induced Hepatocellular Carcinoma Derived from a Bioinformatics Analysis
Q38936280On the relationships in rhesus macaques between chronic ethanol consumption and the brain transcriptome.
Q36240390Statistical Approaches for Gene Selection, Hub Gene Identification and Module Interaction in Gene Co-Expression Network Analysis: An Application to Aluminum Stress in Soybean (Glycine max L.).

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