Results 1 to 10 of about 61,354 (152)

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   +4 more sources

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

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   +5 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   +3 more sources

Weighted Gene Co-Expression Network Analysis of Oxymatrine in Psoriasis Treatment

Journal of Inflammation Research, 2023
Xiaoxiao Xue,1 Yatao Guo,2 Qianying Zhao,3 Yongwen Li,1 Mi Rao,1 Wenjing Qi,1 Huijuan Shi1 1Department of Dermatovenereology, the General Hospital of Ningxia Medical University, Yinchuan, 750004, People’s Republic of China; 2Dermatological Department ...
Xue X, Guo Y, Zhao Q, Li Y, Rao M, Qi W, Shi H   +6 more
doaj   +3 more sources

Application of weighted gene co‐expression network analysis to identify novel key genes in diabetic nephropathy

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, Xiaolei Chen, Chao Li, Wanxin Tang   +3 more
doaj   +2 more sources

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

Three-gene prognostic biomarkers for seminoma identified by weighted gene co-expression network analysis.

PLoS ONE, 2020
Testicular germ cell tumors (TGCTs) are common in young males, and seminoma accounts for a large proportion of TGCTs. However, there are limited records on the exploration of novel biomarkers for seminoma.
Hualin Chen, Gang Chen, Yang Pan, Xiaoxiang Jin   +3 more
doaj   +3 more sources

Identification of glioblastoma gene prognosis modules based on weighted gene co-expression network analysis

BMC Medical Genomics, 2018
Background Glioblastoma multiforme, the most prevalent and aggressive brain tumour, has a poor prognosis. The molecular mechanisms underlying gliomagenesis remain poorly understood.
Pengfei Xu, Jian Yang, Junhui Liu, Xue Yang, Jianming Liao, Fanen Yuan, Yang Xu, Baohui Liu, Qianxue Chen   +8 more
doaj   +3 more sources

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   +3 more sources

Identification of a key glioblastoma candidate gene, FUBP3, based on weighted gene co-expression network analysis [PDF]

BMC Neurology, 2022
Background Glioblastoma multiforme (GBM) is the most common aggressive malignant brain tumor. However, the molecular mechanism of glioblastoma formation is still poorly understood.
Jianmin Li, Zhao Zhang, Ke Guo, Shuhua Wu, Chong Guo, Xinfan Zhang, Zi Wang   +6 more
doaj   +3 more sources