Gene Co-Expression Networks
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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ALS disrupts spinal motor neuron maturation and aging pathways within gene co-expression networks
... iMN expression data set) (Supplementary Table 2a) did not identify modules significantly correlated to ALS conditions (data not ...distinct expression changes induced by the two genotypes of ALS ...
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MicroRNA and gene co-expression networks characterize biological and clinical behavior of rhabdomyosarcomas.
... miRNA expression profiling was performed by high-throughput sequencing analysis using a Solexa/ Illumina Genome Analyzer ...miRNA expression and patient outcome data were performed by fitting ...
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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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Extracting Regulatory Gene Expression Networks From Pubmed
... Subsequently, we recognize more complex noun chunks on the basis of the simpler ones, e.g. promoters, upstream activating/repressing se- quences (UAS/URS), binding sites. At this point it becomes important to distinguish ...
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Selecting biologically informative genes in co-expression networks with a centrality score
... in gene co- expression networks are still ...of gene centrality are typically ap- plied to co-expression networks that are defined with binary ...the ...
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Functional and transcriptional connectivity of communities in breast cancer co-expression networks
... of gene expression data such as nonlinearity, ’delays’ ...(large) gene co-expression ...deconvolute gene regulatory networks from massive gene expression ...
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MyoMiner: explore gene co-expression in normal and pathological muscle
... compare gene co-expression networks between condi- tions – ...the co-expression of a given gene pair is lost, gained, or inverted, as a result of, for example, a ...
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Genome-level analysis of genetic regulation of liver gene expression networks
... and gene expression profiling of a number of recombinant inbred and F2 crosses in both mouse and rat along with the dense genetic marker maps for these ...phenotypes, gene expression and ...
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Identification of key gene modules for human osteosarcoma by co expression analysis
... generate gene co-expression networks, the raw gene expression of osteosarcoma datasets were downloaded from the GEO data repository (http:// ...average expression value of ...
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The Role of Eif6 in Skeletal Muscle Homeostasis Revealed by Endurance Training Co-expression Networks
... tional networks. First, we identified differential co-expression networks involving 8,893 unique genes, which the algorithm organized into 25 interconnected gene clusters (network mod- ...
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Extensive rewiring of epithelial stromal co expression networks in breast cancer
... differential expression ana- lytic approach is that it does not allow direct evaluation of epithelial-stromal co-expression relationships, ...creased expression of gene X in the stroma ...
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Functional Partitioning of Yeast Co Expression Networks after Genome Duplication
... non-partitioned networks (Fig- ure 4A) which are most similar to the regulatory networks studied (which also show neither partitioning nor asymme- ...simulated networks and the regulatory ...
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Discovering Gene Co-Expression Modules Using Fuzzified Adjusted Rand Index
... detect gene modules and identify the hub genes within modules is Weighted Gene Co-expression Network Analysis (WGCNA) [2, ...of co-expression between nodes in a ...identify ...
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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 ...
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Gene co-expression network connectivity is an important determinant of selective constraint
... from networks of interacting ...by co-expression networks, which are known to contain a small number of highly connected nodes and many more lowly connected nodes, making them robust to random ...
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Co-expression network analysis and genetic algorithms for gene prioritization in preeclampsia
... entrez gene, unigene code) in order to obtain the common space across all platforms ...entrez gene ID through manual observation and also using the updated manufacturers annotation information (using ...
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Metrics to estimate differential co-expression networks
... expression networks have been proposed ...expressed networks, (ii) differential gene-gene connections, and (iii) differential co-expressed ...expressed networks, the main ...
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An application of the Shapley value to the analysis of co-expression networks
... a co-expression ...the co-expression network and a parameter that specifies the a priori importance of each ...a gene in preserving the regulatory activity across all pos- sible subsets ...
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gViz, a novel tool for the visualization of co expression networks
... (from Gene Ontology [22]), proteins (sequences from SwissProt and domains from InterPro [23]), references in the literature (from PubMed [24]), diseases in which corresponding genes are involved (from OMIM), ...
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