Results 11 to 20 of about 69,571 (187)

Hub genes in adenocarcinoma of the esophagogastric junction based on weighted gene co-expression network analysis and immunohistochemistry

Translational Oncology, 2023
Background: Gastric cancer (GC) is the fifth most common malignant tumor, and it is usually fatal. Adenocarcinoma of the esophagogastric junction (AEG) accounts for about 50% of all GC cases.
Zhiyong Lai, Zhongyuan Bai, Shuzhe Yang, Rui Zhang, Yanfeng Xi, Jun Xu   +5 more
doaj   +2 more sources

PyWGCNA: a Python package for weighted gene co-expression network analysis [PDF]

Bioinformatics, 2022
Abstract Motivation Weighted gene co-expression network analysis (WGCNA) is frequently used to identify modules of genes that are co-expressed across many RNA-seq samples. However, the current R implementation is slow, is not designed to compare modules between multiple WGCNA networks, and its ...
Narges Rezaie, Farilie Reese, Ali Mortazavi   +2 more
openaire   +5 more sources

Comparative analysis of weighted gene co-expression networks in human and mouse [PDF]

PLOS ONE, 2017
The application of complex network modeling to analyze large co-expression data sets has gained traction during the last decade. In particular, the use of the weighted gene co-expression network analysis framework has allowed an unbiased and systems-level investigation of genotype-phenotype relationships in a wide range of systems.
Marius Eidsaa, Lisa Stubbs, Eivind Almaas   +2 more
openaire   +6 more sources

Integrated Weighted Gene Co-expression Network Analysis with an Application to Chronic Fatigue Syndrome [PDF]

BMC Systems Biology, 2008
Abstract Background Systems biologic approaches such as Weighted Gene Co-expression Network Analysis (WGCNA) can effectively integrate gene expression and trait data to identify pathways and candidate biomarkers. Here we show that the additional inclusion of genetic marker data allows one to characterize network ...
Angela P. Presson, Eric M. Sobel, Jeanette C. Papp, Charlyn J. Suarez, Toni Whistler, Mangalathu S. Rajeevan, Suzanne D. Vernon, Steve Horvath   +7 more
openaire   +6 more sources

Comprehensive analysis of biomarkers for prostate cancer based on weighted gene co-expression network analysis

Medicine, 2020
Abstract Background: Prostate cancer (PCa) is one of the leading causes of cancer-related death. In the present research, we adopted a comprehensive bioinformatics method to identify some biomarkers associated with the tumor progression and prognosis of PCa.
Chen, Xuan, Wang, Jingyao, Peng, Xiqi, Liu, Kaihao, Zhang, Chunduo, Zeng, Xingzhen, Lai, Yongqing   +6 more
openaire   +4 more sources

Hypergraph-based analysis of weighted gene co-expression hypernetwork [PDF]

Frontiers in Genetics
BackgroundWith the rapid advancement of gene sequencing technologies, Traditional weighted gene co-expression network analysis (WGCNA), which relies on pairwise gene relationships, struggles to capture higher-order interactions and exhibits low ...
Libing Bai, Libing Bai, Zongjin Li, Chunyang Tang, Chunyang Tang, Changxin Song, Feng Hu, Feng Hu   +7 more
doaj   +2 more sources

Based on Weighted Gene Co-Expression Network Analysis Reveals the Hub Immune Infiltration-Related Genes Associated with Ulcerative Colitis

Journal of Inflammation Research
Zongbiao Tan,* Chuan Liu,* Pengzhan He,* Yanrui Wu, Jiao Li, Jixiang Zhang, Weiguo Dong Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, 430060, People’s Republic of China*These authors contributed equally to ...
Tan Z, Liu C, He P, Wu Y, Li J, Zhang J, Dong W   +6 more
doaj   +1 more source

Using weighted gene co-expression network analysis to identify key genes related to preeclampsia. [PDF]

Front Immunol
IntroductionThe pathogenesis of preeclampsia remains unclear, highlighting the need for the creation of dependable biomarkers. This study aimed to pinpoint genetic risk factors linked to preeclampsia through the utilization of weighted gene co-expression network analysis (WGCNA).MethodsA gene expression profile dataset from the placentas of patients ...
Shen X, Zeng Z, Xie L, Yue X, Wang Z.
europepmc   +4 more sources

Weighted gene co-expression network analysis reveals the hub genes and molecular mechanism of quiescence. [PDF]

3 Biotech
The hematopoietic stem cell (HSC) continues their functional integrity and return to quiescence quickly even after inflammatory and other proliferative stress. The mechanism which is responsible for this highly regulatory process is not understood clearly.
Apoorvha JP, Brindha S, Ganesan M, Roy S.   +3 more
europepmc   +4 more sources

Identification of endothelial INSR as an osteosarcoma-related biomarker and therapeutic target based on weighted gene co-expression network analysis [PDF]

Discover Oncology
Background Osteosarcoma (OS) is the most common primary malignant bone tumor characterized by a high rate of metastasis. The clinical efficacy of current targeted drugs for OS is limited, highlighting the urgent need to identify novel therapeutic targets.
Xu Yingkai, Jiang Jianfeng, Hu Zhiyong, Zhou Zhifeng, Wang Lei   +4 more
doaj   +2 more sources