Single genemode returns co-expression correlations for a gene of interest and implements a unique procedure for predicting gene function using these correlations as the basis forGene Set Enrichment Analysis(corGSEA). Visualized usingR shiny, the result is a user-friendly interface for exploring geno...
In general, the relationship between a pair of numeric vectors can be measured in many ways, in particular, using a correlation coefficient (e.g., the Pearson-, Spearman-, or biweight mid-correlation) or using the concordance index. Mouse gene expression data are used to illustrate how ...
Co-expression measures are often used to define networks among genes. Mutual information (MI) is often used as a generalized correlation measure. It is not clear how much MI adds beyond standard (robust) correlation measures or regression model based ass
The objective was to evaluate the co expression and correlation of CK2 and c-Myc in prostate cancer. Study Design: Cross Sectional Analytical Study. Duration: Study was conducted at Army Medical College and AFIP, duration was two years. Methods: a retrospective study of immunohistochemical analysis...
The SWIM modules, by virtue of their basis in correlation among switch genes whose expression could be regulated by common transcription factors, reflect actions that may also occur “at-a-distance” in the interactome (i.e., long-range interactions), likely reflecting concomitant modulation of ...
Quality criteria for finding genes with high mRNA–protein expression correlation and coexpression correlationQuality criteria for finding genes with high mRNA–protein expression correlation and coexpression correlationdoi:10.1016/j.gene.2012.01.029mRNA...
A more complex model takes into account edge weights to store information about the corresponding values in the correlation matrix (before applying the threshold). In particular, in such a representation the graph is complete, meaning that there exists an edge between each pair of nodes, and the...
In order for two genes to have a greater than 50% chance of sharing a common transcription factor binder, the correlation between their expression profiles (across the 611 microarrays used in our study) must be greater than 0.84. Genes with similar functional annotations are also more likely to...
We present a large-scale analysis of mRNA coexpression based on 60 large human data sets containing a total of 3924 microarrays. We sought pairs of genes that were reliably coexpressed (based on the correlation of their expression profiles) in multiple data sets, establishing a high-confidence ...
PURPOSE: This study aimed to explore the localization and expression of P-element-induced wimpy testis-like 2 (piwil2)/Piwil4 in hepatocellular carcinoma (HCC) tissues, and analyze the correlation between co-expression pattern and prognosis of HCC. RESULTS: Piwil2 showed 100% positive expression ...