Results 51 to 60 of about 69,571 (187)
Discovering transcriptional modules by Bayesian data integration [PDF]
, 2010 Motivation: We present a method for directly inferring transcriptional modules (TMs) by integrating gene expression and transcription factor binding (ChIP-chip) data.
Richard S. Savage +15 more
core +1 more source
Weighted gene co-expression network analysis.
, 2015 SC Ribo is structural constituent of ribosome; FA bio is fatty acid biosynthesis. Underlined modules and GO terms were also identified in the GO enrichment analysis in Table 2.Weighted gene co-expression network analysis.
Laura M. Bond (761761) +10 more
core +1 more source
WGCNA: an R package for weighted correlation network analysis
BMC Bioinformatics, 2008 Background Correlation networks are increasingly being used in bioinformatics applications. For example, weighted gene co-expression network analysis is a systems biology method for describing the correlation patterns among genes across microarray ...
Horvath Steve, Langfelder Peter
doaj +1 more source
The Role of Vitamin D in the Transcriptional Program of Human Pregnancy. [PDF]
PLoS ONE, 2016 Patterns of gene expression of human pregnancy are poorly understood. In a trial of vitamin D supplementation in pregnant women, peripheral blood transcriptomes were measured longitudinally on 30 women and used to characterize gene co-expression networks.
Amal Al-Garawi +9 more
doaj +1 more source
MODA: MOdule Differential Analysis for weighted gene co-expression network [PDF]
, 2016 1 Summary Gene co-expression network differential analysis is designed to help biologists understand gene expression patterns under different conditions. We have implemented an R package called MODA (Module Differential Analysis) for gene co-expression network differential analysis. Based on transcriptomic data, MODA can
Li, Dong +5 more
openaire +2 more sources
Discovery of core biotic stress responsive genes in Arabidopsis by weighted gene co-expression network analysis. [PDF]
, 2015 Intricate signal networks and transcriptional regulators translate the recognition of pathogens into defense responses. In this study, we carried out a gene co-expression analysis of all currently publicly available microarray data, which were generated ...
Barbara Blanco-Ulate +8 more
core +1 more source
Zhongguo aizheng zazhi, 2021 Background and purpose: This study aimed to screen out the bio-markers related to the occurrence and metastasis of gastric cancer. The weighted gene co-expression network analysis (WGCNA) was performed to analyze the gene chips containing metastatic ...
龚 超 +7 more
doaj
Biochemical Genetics, 2023 Abstract Methods: Our study mainly used The Cancer Genome Atlas (TCGA) LIHC database and the gene expression profiles of GSE54236 from the Gene Expression Omnibus (GEO) to explore the differential co-expression genes between LIHC and normal tissues.
Sun, Jiawei +4 more
openaire +2 more sources
Molecular Medicine Reports, 2018 Acute myocardial infarction induces ventricular remodeling, which is implicated in dilated heart and heart failure. The pathogenical mechanism of myocardium remodeling remains to be elucidated. The aim of the present study was to identify key genes and networks for myocardium remodeling following ischemia‑reperfusion (IR).
Guo, Nan +7 more
openaire +3 more sources
, 2014 Background Salmonella enterica serovar Typhimurium is a gram-negative bacterium that can colonise the gut of humans and several species of food producing farm animals to cause enteric or septicaemic salmonellosis.
Kommadath, A. +7 more
core +1 more source