Results 221 to 230 of about 33,188 (253)

Network Analysis Identifies Microsomal Glutathione S-Transferase as a Potential Regulator of Oxidative Stress and Proteasome Dysfunction in Human Osteoarthritic Menisci. [PDF]

FASEB Bioadv
Wu X, Hamzatova A, Aulin C, Sun W, Struglics A, Hart DA, Ackermann PW, Ahmed AS.   +7 more
europepmc   +1 more source

Integrative Transcriptome Analysis and WGCNA Uncover the Growth Regulatory Mechanisms in <i>Cephalopholis sonnerati</i>. [PDF]

Animals (Basel)
Wang Z, Song Y, Sun R, Sha Z, Liu Y, Chen S.   +5 more
europepmc   +1 more source

TRIP13 identified by WGCNA as a progression-related and prognostic biomarker in ovarian cancer. [PDF]

Front Med (Lausanne)
Zhang H, Zhang M, Hu Y, He Y.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

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.
Wu, Jemma X., Pascovici, Dana, Wu, Yunqi, Walker, Adam K., Mirzaei, Mehdi   +4 more
openaire   +3 more sources

Identification of key pathways and genes in the progression of silicosis based on WGCNA

Inhalation Toxicology, 2022
Silicosis, induced by inhaling silica particles in workplaces, is one of the most common occupational diseases. The prognosis of silicosis and its consequent fibrosis is extremely poor due to limited treatment modalities and lack of understanding of the disease mechanisms.
Jiaqi Lv, Jingwei Xiao, Qiang Jia, Xiangjing Meng, Zhifeng Yang, Shuangshuang Pu, Ming Li, Tao Yu, Yi Zhang, Haihua Wang, Li Liu, Zhongsheng Li, Xiao Chen, Haitao Yang, Yulu Li, Mengyun Qiao, Airu Duan, Hua Shao, Bin Li   +18 more
openaire   +2 more sources

WGCNA Application to Proteomic and Metabolomic Data Analysis

2017
Progresses 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

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

[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