عنوان فارسی مقاله: شبکه های همبستگی ژنی
عنوان انگلیسی مقاله:
فهرست مطالب
Gene Correlation Networks
Gene expression
Gene expression detection
DNA microarray
Normalization
RNA-seq
Gene co-expression network
Pearson correlation
Weighted gene co-expression network
Weighted vs. unweighted
Adjacency matrix
Module structure is highly preserved across data sets
Conclusion
بخشی از مقاله
Gene co-expression network
Definition: a gene co-expression network is a graph, where each node corresponds to a gene and a pair of nodes is connected with an undirected edge if their pair-wise expression similarity is above a particular threshold“standard” methods for network construction
Computation of co-expression: Pearson correlation
Edge threshold: pre-defined cutoff value
Statistical significance test: Student's t-test
کلمات کلیدی:
Gene co-expression network analysis reveals common system-level ... https://www.nature.com › Nature Communications › Articles Feb 3, 2014 - For each cancer type, we constructed a gene co-expression network from Agilent microarray data using weighted gene correlation network ... Construction and application of a co-expression network in ... - Nature https://www.nature.com › Scientific Reports › Articles Jun 22, 2016 - Here, we applied the WGCNA (Weighted Gene Correlation Network Analysis) algorithm to mine pooled microarray datasets for the M. Comparison of co-expression measures: mutual information ... bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-13-328 Dec 9, 2012 - Co-expression measures are often used to define networks among genes. Mutual information (MI) is often used as a generalized correlation ... Searches related to Gene Correlation Networks wgcna rna-seq wgcna bioconductor wgcna vignette wgcna wiki wgcna example wgcna paper wgcna tutorial wgcna python
