Results 351 to 360 of about 57,794 (383)
Candidate Biomarkers and Molecular Mechanism Investigation for Glioblastoma Multiforme Utilizing WGCNA [PDF]
BioMed Research International, 2018 To reveal the potential molecular mechanism of glioblastoma multiforme (GBM) and provide the candidate biomarkers for GBM gene therapy. Microarray dataset GSE50161 was obtained from GEO database. The differentially expressed genes (DEGs) were identified between GBM samples and control samples, followed by the module partition analysis based on WGCNA ...
Qi Yang, Bo Wei, Daliang Kong
exaly +3 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Identifying novel candidate biomarkers of RCC based on WGCNA analysis
Personalized Medicine, 2018Extracting differential expression genes (DEGs) is an effective approach to improve the accuracy of determining the candidate biomarker genes. However, the previous DEGs analysis methods ignore that the expression levels of genes in different pathology stages of cancers are complex and various.In our study, staging DEGs analysis and weighted gene co ...
Jin, Deng +4 more
openaire +2 more sources
WGCNA Application to Proteomic and Metabolomic Data Analysis
2017Progresses in mass spectrometric instrumentation and bioinformatics identification algorithms made over the past decades allow quantitative measurements of relative or absolute protein/metabolite amounts in cells in a high-throughput manner, which has significantly expedited the exploration into functions and dynamics of complex biological systems ...
G, Pei, L, Chen, W, Zhang
openaire +2 more sources
Application of WGCNA and PloGO2 in the Analysis of Complex Proteomic Data
2021In this protocol we describe our workflow for analyzing complex, multi-condition quantitative proteomic experiments, with the aim to extract biological insights. The tool we use is an R package, PloGO2, contributed to Bioconductor, which we can optionally precede by running correlation network analysis with WGCNA.
Jemma X, Wu +4 more
openaire +2 more sources
[WGCNA screening of prognostic markers in medulloblastoma].
Zhonghua yi xue za zhi, 2020Objective: In this study, we used the Weighted gene co-expression network analysis (WGCNA) analysis to find the gene module that are specifically expressed in Medulloblastoma and screened the marker genes that may diagnose and treat Medulloblastoma. Methods: WGCNA was used to identify the gene modules that are specifically associated with suvival in ...
B S, Du, L, Yuan, L G, Sun, Z Y, Zhang
openaire +1 more source
RNA-Seq and WGCNA Analyses Reveal Key Regulatory Modules and Genes for Salt Tolerance in Cotton
GenesThe problem of soil salinization has seriously hindered agricultural development. Cotton is a pioneering salinity-tolerant crop, so harvesting its key salinity-tolerant genes is important for improving crop salt tolerance.
Bo Pang +7 more
semanticscholar +1 more source
iLiver
Background and aims To identify biomarkers to predict acute liver failure and investigate the mechanisms and immune-related pathways linked to its onset and progression.
Xinyan Wu, Xiaomei Zheng, Gang Ye
semanticscholar +1 more source
Background and aims To identify biomarkers to predict acute liver failure and investigate the mechanisms and immune-related pathways linked to its onset and progression.
Xinyan Wu, Xiaomei Zheng, Gang Ye
semanticscholar +1 more source
Identification of susceptibility modules and characteristic genes to osteoarthritis by WGCNA
Annales de Biologie CliniqueThe susceptibility modules and characteristic genes of patients with osteoarthritis (OA) were determined by weighted gene co-expression network analysis (WGCNA), and the role of immune cells in OA related microenvironment was analyzed. GSE98918 and GSE117999 data sets are from GEO database. R language was used to conduct difference analysis for the new
He-Jun, Hu +5 more
openaire +2 more sources