Results 1 to 10 of about 61,663 (116)

Screening Biomarkers for Nerve Injury Using Weighted Gene Co‐Expression Network Analysis and Machine Learning [PDF]

Brain and Behavior
Background 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, Chengyue Yu, Nana Wang, Jianhua Xu, Weiguo Xu   +4 more
doaj   +2 more sources

Weighted Gene Co-expression Network Analysis of Key Biomarkers Associated With Bronchopulmonary Dysplasia

Frontiers in Genetics, 2020
Bronchopulmonary dysplasia (BPD) is a complex disorder resulting from interactions between genes and the environment. The accurate molecular etiology of BPD remains largely unclear.
Yao Cai, Fei Ma, LiuHong Qu, LiuHong Qu, Binqing Liu, Hui Xiong, Yanmei Ma, Sitao Li, Hu Hao   +8 more
doaj   +3 more sources

Assessment of pulmonary fibrosis using weighted gene co-expression network analysis [PDF]

Frontiers in Toxicology
For 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, Walter Zobl, Sylvia E. Escher   +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 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

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, Saeed Ghanbari, Saeid Afshar, Leili Tapak, Payam Amini   +4 more
doaj   +1 more source

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   +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, Rosaline W. Macharia, Joel L. Bargul   +2 more
doaj   +1 more source

Bioinformatics analysis of common key genes and pathways of intracranial, abdominal, and thoracic aneurysms

BMC Cardiovascular Disorders, 2021
Background Aneurysm is a severe and fatal disease. This study aims to comprehensively identify the highly conservative co-expression modules and hub genes in the abdominal aortic aneurysm (AAA), thoracic aortic aneurysm (TAA) and intracranial aneurysm ...
Siwei Bi, Ruiqi Liu, Linfeng He, Jingyi Li, Jun Gu   +4 more
doaj   +1 more source

Distance correlation application to gene co-expression network analysis

BMC Bioinformatics, 2022
Background To construct gene co-expression networks, it is necessary to evaluate the correlation between different gene expression profiles. However, commonly used correlation metrics, including both linear (such as Pearson’s correlation) and monotonic ...
Jie Hou, Xiufen Ye, Weixing Feng, Qiaosheng Zhang, Yatong Han, Yusong Liu, Yu Li, Yufen Wei   +7 more
doaj   +1 more source

Identify the signature genes for diagnose of uveal melanoma by weight gene co-expression network analysis [PDF]

International Journal of Ophthalmology, 2015
AIM: To identify and understand the relationship between co-expression pattern and clinic traits in uveal melanoma, weighted gene co-expression network analysis (WGCNA) is applied to investigate the gene expression levels and patient clinic features ...
Kai Shi, Zhi-Tong Bing, Gui-Qun Cao, Ling Guo, Ya-Na Cao, Hai-Ou Jiang, Mei-Xia Zhang   +6 more
doaj   +1 more source