Gene co-expression
Discovering Gene Co-Expression Modules Using Fuzzified Adjusted Rand Index
... be co-expressed ...the co-expressed genes from identified latent Mtb genes and perform functional analysis of the gene sets using an annotation ...the expression trend of two genes with ...
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RiceAntherNet: a gene co expression network for identifying anther and pollen development genes
... Understanding gene regulatory relationships during male reproductive development is essential for fundamental biology and crop ...rice gene co-expression network for anther development ...
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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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Addressing confounding artifacts in reconstruction of gene co expression networks
... of co-expression networks from real large-scale human gene expression measurements, we applied our method to RNA-Seq data from the Genotype-Tissue Expression (GTEx) project v6p ...
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Side effects of chaperone gene co-expression in recombinant protein production
... chaperone gene co-expression resulted in enhanced yield and biolo- gical activity of a reporter protein, which also showed increased stability in presence of the bacterial chaper- ones, indicative of ...
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Weighted gene co-expression network analysis to explain the relationship between plasma total carotenoids and lipid profile
... of gene expression [11, ...on gene expression via several transcriptional systems such as the retinoid receptors, the nuclear factor-kappa B, and the peroxi- some proliferator-activated ...
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Gene co expression networks shed light into diseases of brain iron accumulation
... putamen gene co-expression modules contain NBIA transcripts (Table 2), with a statistically signi fi cant clustering in the brown (PANK2, ATP13A2, C19orf12, and COASY; hypergeometric distribution p = ...
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Frontotemporal dementia: insights into the biological underpinnings of disease through gene co-expression network analysis
... Weighted gene co-expression network analysis (WGCNA) Networks were generated by weighted gene co- expression network analysis (WGCNA) (see [50, 51]) and modules of highly ...
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A Ratiometric Based Measure of Gene Co Expression
... fusion gene, Khan et al. found 37 genes forming a gene expression ‘signature’ of this type of cancer ...aberrant gene expression profile enrichment with genes, differentially expressed ...
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Comparison of threshold selection methods for microarray gene co expression matrices
... We focus on relevance networks, created by applying a hard threshold to the gene expression correlation matrix [2], then extracting gene networks. The resulting networks have been well documented in ...
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MicroRNA and gene co-expression networks characterize biological and clinical behavior of rhabdomyosarcomas.
... that co-expressed genes are commonly associated with similar biological function/pathways, we employed WGCNA using parallel gene expression data from the 64 RMS pa- tients [30] and identi fi ed 12 ...
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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>
... the co-expressed genes of PTGDS in ...the co- expressed genes is shown Supplementary Table ...that co- expressed genes of PTGDS were mainly involved in immune-related biological processes such as the ...
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Muscle Transcriptional Profile Based on Muscle Fiber, Mitochondrial Respiratory Activity, and Metabolic Enzymes
... Here, gene expression was investigated in malignant hyperthermia syndrome (MHS)-negative Duroc and Pietrian (PiNN) pigs significantly differing for the muscle fiber types slow-twitch-oxidative fiber (STO) ...
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Quantitative proteomics reveals the novel co-expression signatures in early brain development for prognosis of glioblastoma multiforme
... protein expression changes during macaque rhesus brain development from fetuses at gestation 70 days to after born 5 ...weighted gene co-expression network analysis (WGCNA) on protein ...
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Arabidopsis Co-expression Tool (ACT): web server tools for microarray-based gene expression analysis
... the co-regulation of genes from the correlation of their expression ...science, gene co-expression analysis has been used recently to predict biology and to inform experimental ...
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Identification of key gene modules for human osteosarcoma by co expression analysis
... weighted gene co-expression network analysis (WGCNA) is a powerful approach based on ...identify gene modules which are popularly applied as candidate biomarkers or therapeutic targets [11, ...
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Expression profile analysis identifies key genes as prognostic markers for metastasis of osteosarcoma
... Additional file 1: Figure S1. Network construction and module detec- tion. (A) Clustering dendrogram of samples based on their Euclidean distance. (B) Analysis of the scale-free fit index and mean connectivity for ...
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Identification of four hub genes as promising biomarkers to evaluate the prognosis of ovarian cancer in silico
... Weighted gene co-expression network anal- ysis (WGCNA) is a systematic biological method which describes the pattern of gene association between dif- ferent samples ...tify gene sets of ...
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Changes of gene expression but not cytosine methylation are associated with male parental care reflecting behavioural state, social context and individual flexibility
... candidate gene found in both the list of differentially expressed genes and as a hub gene in the gene co-expression network (module 9) associated with caring is NK homeobox 7 ...This ...
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Induction of a common microglia gene expression signature by aging and neurodegenerative conditions: a co-expression meta-analysis
... microglia gene expression network, Galactin-3, Igf1, Csf1, and Axl were previously shown to be instru- mental for microglia functions including proliferation, activation, and ...Galactin-3 gene ...
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