Comprehensive analysis of an mRNA co|expression network and a ...

Canonical correlation analysis for RNA-seq co-expression networks

However, the current methods for construction of co-expression networks using overall gene expression are originally designed for microarray expression data, ...

Comprehensive analysis of circRNA expression pattern and ...

We next predicted miRNA-target interactions with the miRanda tool and constructed a differentially expressed circRNA-miRNA-mRNA triple network. A gene ontology ...

Identification of clinical trait–related lncRNA and mRNA biomarkers ...

Weighted gene co-expression network analysis (WGCNA) was widely ... It is the first comprehensive study to investigate lncRNA–miRNA–mRNA networks ...

Dynamic co-expression network analysis of lncRNAs and mRNAs ...

Thus, the present study re-annotated an Affymetrix microarray associated with peripheral venous congestion, then constructed a dynamic lncRNA- ...

Computational Ensemble Gene Co-Expression Networks for ... - MDPI

A preliminary exploratory analysis was carried out with the aim of obtaining an initial and detailed understanding of the data to be analyzed. This prior ...

Weighted gene co-expression network analysis of microarray mRNA ...

In this study, we performed a weighted gene co-expression network analysis (WGCNA) on data collected from a microarray experiment to investigate the ...

Comprehensive analysis of the lncRNA-miRNA-mRNA regulatory ...

Figure 2 Competing endogenous RNA network constructed based on the significant differential expression of long non-coding RNAs, microRNAs, and messenger RNAs ( ...

Co-expression analysis reveals interpretable gene modules ... - eLife

In this study, we performed comprehensive gene module trans-eQTL analysis ... Weighted gene co-expression network analysis (WGCNA). Request a ...

The Cancer Genome Atlas Program (TCGA) - NCI

Access TCGA data through the Genomic Data Commons Data Portal, along with web-based analysis and visualization tools. ... network researchers and collaborators.

Co-expression gene network analysis reveals novel regulatory ...

The purpose of this study was to integrate transcriptomic and clinical data by comprehensive network ... Weighted gene co-expression network ...

Integrated bioinformatical analysis of lncRNA-mRNA co-expression ...

... Comprehensive Cancer Network (NCCN) criteria [21]. Immunohistochemical results showed that these tumor tissues were CK7(+), P16(+), and Ki-67(+). The ...

Gene co-expression network construction and analysis for ...

Tumor development is a complex pathological process that involves multiple genetic alterations [3]. In most cases of cancer, these alterations ...

Investigation of lncRNA-mRNA co-expression network in ETV6 ...

We performed the weighted gene co-expression network analysis (WGCNA) to assess the involvement of lncRNA-mRNA pairs in B-ALL patients.

Bioinformatics‐Based Analysis of lncRNA‐mRNA Interaction ...

Backgrounds. Serum long noncoding RNAs (lncRNAs) and messenger RNAs (mRNAs) interaction network was discovered to exert an important role in ...

Comprehensive Analysis of the Mechanism of Periodontitis-Related ...

... Gene Expression Omnibus database through the weighted gene coexpression network analysis system. In addition we screened mRNAs that are ...

An Integration of Transcriptomic Data and Modular Gene Co ... - MDPI

CEMiTool: A Bioconductor package for performing comprehensive modular co-expression analyses. ... Weighted Gene Co-expression Network Analysis (WGCNA) Reveals the ...

Comprehensive analysis of lncRNAs microarray profile and mRNA ...

With the help of mRNA-lncRNA co-expression network, we found that ... The coding non-coding gene (CNC) co-expression network was constructed based ...

Spatiotemporal analysis of mRNA-protein relationships enhances ...

... expression improves developmental gene analysis. Show full ... gene relationships by constructing a gene co-expression network (GCN).

Introduction to Weighted Gene Co-expression Network Analysis

Goals of this webinar (molecular networks): Introduction and motivation for co-expression network analysis Basics of weighted gene ...

Application of weighted gene co‑expression network analysis to ...

Application of weighted gene co‑expression network analysis to explore the potential diagnostic biomarkers for colorectal cancer. Authors:.