co-expression network
<p>Co-Expression Network Analysis Identified LTF in Association with Metastasis Risk and Prognosis in Clear Cell Renal Cell Carcinoma</p>
... In recent years, microarray and high-throughput sequen- cing technology have been widely applied. 7,8 However, most researches focus on the screening of differentially expressed genes (DEGs), ignoring the high degree of ...
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<p>Weighted Gene Co-Expression Network Analysis Identified Cancer Cell Proliferation as a Common Phenomenon During Perineural Invasion</p>
... Purpose: Perineural invasion (PNI) is the neoplastic invasion of nerves by cancer cells, a process that may prove to be another metastatic route besides direct invasion, lymphatic spread, and vascular dissemination. ...
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Original Article Application of weighted gene co-expression network analysis to rheumatoid arthritis
... turquoise module was vi- sualized using Cytoscape software, and its hub genes were identified via cytoHubba. Among the 12 methods, MCC, which cap- tures more essential pro- teins in the top of the ranked list for both ...
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Identifying novel biomarkers of the pediatric influenza infection by weighted co expression network analysis
... gene co-expression network based on Pediatric influenza samples was constructed by R pack- age “WGCNA” ...highly co-expressed genes were then grouped by hierarchical ...gene expression ...
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Weighted gene co-expression network analysis to explain the relationship between plasma total carotenoids and lipid profile
... gene expression [11, ...gene expression via several transcriptional systems such as the retinoid receptors, the nuclear factor-kappa B, and the peroxi- some proliferator-activated receptors ...gene ...
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Original Article LncRNA expression profiles reveal the co-expression network in human colorectal carcinoma
... technology. Co-expression network reveals several genes, such as CEACAM1, DHRS11, HNF4A, HGRLOS, MUC4 and TTN, were related to CRC, these genes play important roles in the progression of CRC and some ...
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RETRACTED ARTICLE: Ranking candidate genes of esophageal squamous cell carcinomas based on differentially expressed genes and the topological properties of the co-expression network
... the co-expression network was constructed, consisting of 2 large sub- networks, 999 nodes, and 46,323 ...gene expression and topological properties of DEGs in the co-expression ...
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Bladder cancer stage-associated hub genes revealed by WGCNA co-expression network analysis
... gene co-expression network analysis (WGCNA) was a systems biology method for describing the correlation patterns among genes across microarray samples, and can be used for finding modules of highly ...
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Co-expression network of neural-differentiation genes shows specific pattern in schizophrenia
... of co-expressed genes associated with human cortical ...through co-expression networks using the R package Weighted Gene Co-expression Network Analysis (WGCNA) ...the ...
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Identification of glioblastoma gene prognosis modules based on weighted gene co-expression network analysis
... expression data of GBM obtained from the TCGA database and found some prognosis sub-networks [36]. But, com- pared to the K-mean clustering method, WGCNA can con- struct a gene co-expression ...
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Frontotemporal dementia: insights into the biological underpinnings of disease through gene co-expression network analysis
... gene co-expression network analysis (WGCNA) Networks were generated by weighted gene co- expression network analysis (WGCNA) (see [50, 51]) and modules of highly correlated genes ...
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<p>Decreased PTGDS Expression Predicting Poor Survival of Endometrial Cancer by Integrating Weighted Gene Co-Expression Network Analysis and Immunohistochemical Validation</p>
... endometrial cancer tissue samples, and screened potential biomarkers related to the progress and prognosis of EC. By constructing a co-expression network of 5879 most variable genes by WGCNA, a total ...
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RiceAntherNet: a gene co expression network for identifying anther and pollen development genes
... genome-wide co-expression analysis has been used to identify 23 downstream genes directly regu- lated by AMS in pollen wall formation (Xu et ...Furthermore, co-expression networks can be ...
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Potential biomarkers of acute myocardial infarction based on weighted gene co-expression network analysis
... gene expression analysis to identify outcome-related genes and dysregulated pathways remains ...gene co-expression network analysis (WGCNA) was performed to obtain a classifier which composed ...
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Differential co-expression network analysis for identification of functional modules in HIV infection and tubercolosis-HIV co-infection
... strongly co-expressed corresponded with interactions classified as a part of plasma membrane (FAIM3, MAL, SLC38A1, ITPR3), and regulation of apoptosis (FAIM3, MALT1, MAL), whereas in PTB8 where ANKRD22, FBXO6 and ...
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Co-expression network analysis identifies a gene signature as a predictive biomarker for energy metabolism in osteosarcoma
... RNA-seq expression and clinical follow- up data for osteosarcoma were obtained from the public database TARGET (https ...The expression profile of the genes involved in energy metabolism were ...gene ...
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A new method for mining information of co-expression network based on multi-cancers integrated data
... Among the top genes found by the PMN, ASXL2, BUB1B, KIF11 and TPX2 have been clinically proven to be associated with multi-cancers, which are a variety of genes commonly identified as mutated in cancers. The genes that ...
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Co-expression network analysis and genetic algorithms for gene prioritization in preeclampsia
... Our results based on KDist together with modular ana- lysis indicate that MP4 and MP7 modules comprise the genes with the greatest potential differentiability (Figure 6 Left). In the group of 14 genes with KDist > 95% ...
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Application of weighted gene co-expression network analysis to identify key modules and hub genes in oral squamous cell carcinoma tumorigenesis
... To construct the gene co-expression networks, the raw data of GSE30784 were downloaded from GEO database. Raw data were preprocessed identically by using R for back- ground correction and normalization. R ...
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Co-expression network analysis identified CDH11 in association with progression and prognosis in gastric cancer
... PPI network of the module ...Gene Expression Profiling Interactive Analysis (GEPIA) showed that CDH11 expression had a strong positive correlation with GC stages ...CDH11 expression in GC ...
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