Journal of Diabetes Investigation, 2022 Aims/Introduction Diabetic nephropathy (DN) is among the leading causes of end‐stage renal disease worldwide. DN pathogenesis remains largely unknown. Weighted gene co‐expression network analysis is a powerful bioinformatic tool for identifying key genes
Zheng Wang +3 more
doaj +2 more sources
A Protocol for Weighted Gene Co-expression Network Analysis With Module Preservation and Functional Enrichment Analysis for Tumor and Normal Transcriptomic Data. [PDF]
Bio ProtocWeighted gene co-expression network analysis (WGCNA) is widely used in transcriptomic studies to identify groups of highly correlated genes, aiding in the understanding of disease mechanisms.
Nguyen P, Zeng E.
europepmc +2 more sources
Screening Biomarkers for Nerve Injury Using Weighted Gene Co‐Expression Network Analysis and Machine Learning [PDF]
Brain and BehaviorBackground Nerve injury triggers complex molecular responses involving immune activation and neuronal damage, yet the key regulatory genes and their mechanisms remain poorly understood.
Shuming Cao +4 more
doaj +2 more sources
Assessment of pulmonary fibrosis using weighted gene co-expression network analysis [PDF]
Frontiers in ToxicologyFor many industrial chemicals toxicological data is sparse regarding several regulatory endpoints, so there is a high and often unmet demand for NAMs that allow for screening and prioritization of these chemicals.
Christina Drake +2 more
doaj +2 more sources
Identification of endothelial INSR as an osteosarcoma-related biomarker and therapeutic target based on weighted gene co-expression network analysis [PDF]
Discover OncologyBackground 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 +4 more
doaj +2 more sources
Hypergraph-based analysis of weighted gene co-expression hypernetwork
Frontiers in GeneticsBackgroundWith 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 +7 more
doaj +3 more sources
Psoriasis Associated Hub Genes Revealed by Weighted Gene Co-Expression Network Analysis [PDF]
Cell Journal, 2023 Objective: Psoriasis, an immune-mediated disorder, is a multifactorial disease of unidentified cause. This study aims to discover the possible biomarkers of this papulosquamous skin disease.Materials and Methods: The gene chip GSE55201, resulted from an ...
Zeinab Darvish +4 more
doaj +1 more source
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 +5 more
doaj +1 more source
PyWGCNA: a Python package for weighted gene co-expression network analysis
bioRxiv, 2022 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.
Narges Rezaie, F. Reese, A. Mortazavi
semanticscholar +1 more source
Gene co-expression network analysis of Trypanosoma brucei in tsetse fly vector
Parasites & Vectors, 2021 Background Trypanosoma brucei species are motile protozoan parasites that are cyclically transmitted by tsetse fly (genus Glossina) causing human sleeping sickness and nagana in livestock in sub-Saharan Africa. African trypanosomes display digenetic life
Kennedy W. Mwangi +2 more
doaj +1 more source