Results 291 to 300 of about 45,444 (316)

Identification of Key Pathways and Genes in the Dynamic Progression of HCC Based on WGCNA [PDF]

Genes, 2018
Yin Li, Zhihui Cai, Baoan Zhu, Cunshuan Xu   +3 more
exaly   +2 more sources

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:

Identifying novel candidate biomarkers of RCC based on WGCNA analysis

Personalized Medicine, 2018
Extracting 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, Wei, Kong, Xiaoyang, Mou, Shuaiqun, Wang, Weiming, Zeng   +4 more
openaire   +2 more sources

Application of WGCNA and PloGO2 in the Analysis of Complex Proteomic Data

2021
In 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, Dana, Pascovici, Yunqi, Wu, Adam K, Walker, Mehdi, Mirzaei   +4 more
openaire   +2 more sources

[WGCNA screening of prognostic markers in medulloblastoma].

Zhonghua yi xue za zhi, 2020
Objective: 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

Identification of susceptibility modules and characteristic genes to osteoarthritis by WGCNA

Annales de Biologie Clinique
The 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, Chao, Kuang, Ru-Lin, Deng, Zhi-Jun, Zheng, Kang-Yan, Liu, Xing-Xing, Wei   +5 more
openaire   +2 more sources

Organic Rankine Cycle Performance Analysis Based on WGCNA

2023 China Automation Congress (CAC), 2023
Fan Chen, Xin Ma, Changbin Tian, Xiangxue Ma, Bo Peng   +4 more
openaire   +1 more source

Identification of crucial genes in aortic dissection by WGCNA

Atherosclerosis, 2021
H. Zhang, T. Chen, W. Zhao, Y. Zhang, L. Tang, B. Xu, X. Chen   +6 more
openaire   +1 more source

Insights into the plateau adaptation of Salvia castanea by comparative genomic and WGCNA analyses

Journal of Advanced Research, 2022
Najeeb Ullah, Weijun Zhou
exaly  

GWAS and WGCNA uncover hub genes controlling salt tolerance in maize (Zea mays L.) seedlings

Theoretical and Applied Genetics, 2021
Guangtang Pan, Yaou Shen
exaly