Results 91 to 100 of about 69,571 (187)

Population-Specific gene expression profiles in prostate cancer: insights from Weighted Gene Co-expression Network Analysis (WGCNA)

World Journal of Surgical Oncology
This study investigates the genetic factors contributing to the disparity in prostate cancer incidence and progression among African American men (AAM) compared to European American men (EAM). The research focuses on employing Weighted Gene Co-expression
Laleh Manouchehri, Zahra Zinati, Leyla Nazari   +2 more
doaj   +1 more source

Key genes and co‐expression network analysis in the livers of type 2 diabetes patients

Journal of Diabetes Investigation, 2019
Aims/Introduction The incidence of type 2 diabetes is increasing worldwide. Hepatic insulin resistance and liver lipid accumulation contributes to type 2 diabetes development.
Lu Li, Zongfu Pan, Xi Yang
doaj   +1 more source

Identification of Hub Gene in Cervical Cancer by Weighted Gene Co-Expression Network Analysis

, 2021
Abstract Background:Cervical cancer(CC) is one of the most common malignant tumors in gynecology. Both its incidence and mortality are high. Despite advances in screening, diagnosis, prevention, and treatment, CC is still one of the leading causes of cancer-related death in women.
huan Chen, huan Chen, Meiyuan Huang, Qunzhi Zhang, Qiong Xu, Jinjin Wang, Yin Tao   +6 more
openaire   +1 more source

Analysis of lncRNA and mRNA expression profiles in diabetic peripheral neuropathy based on weighted gene co-expression network analysis

, 2023
Diabetic peripheral neuropathy (DPN) is a common complication of diabetes mellitus. Recent studies have explored the involvement of long non-coding RNA (lncRNA) in diabetes, but its specific role in DPN development remains unclear.
Yuxiang Guan, Liangzhen You, Guoming Shen, Fangqi Ma, Dongdong Yu, Yongkang Wang, Shu Ye   +6 more
core   +1 more source

Weighted gene co‑expression network analysis for identifying hub genes in association with prognosis in Wilms tumor

Molecular Medicine Reports, 2019
Wilms tumor (WT) is the most common type of renal malignancy in children. Survival rates are low and high‑risk WT generally still carries a poor prognosis. To better elucidate the pathogenesis and tumorigenic pathways of high‑risk WT, the present study presents an integrated analysis of RNA expression profiles of high‑risk WT to identify predictive ...
Wang, Xiaofu, Song, Pan, Huang, Chuiguo, Yuan, Naijun, Zhao, Xinghua, Xu, Changbao   +5 more
openaire   +3 more sources

The Comprehensive Analysis of Weighted Gene Co-Expression Network Analysis and Machine Learning Revealed Diagnostic Biomarkers for Breast Implant Illness Complicated with Breast Cancer

Breast Cancer: Targets and Therapy
Zhenfeng Huang,1,* Huibo Wang,2,* Hui Pang,1,* Mengyao Zeng,3 Guoqiang Zhang,1 Feng Liu1 1Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang Province, People’s Republic of China; 2Department of ...
Huang Z, Wang H, Pang H, Zeng M, Zhang G, Liu F   +5 more
doaj  

Associating transcriptional modules with colon cancer survival through weighted gene co-expression network analysis

, 2017
Background Colon cancer (CC) is a heterogeneous disease influenced by complex gene networks. As such, the relationship between networks and CC should be elucidated to obtain further insights into tumour biology.
Wei Zhang, Rong Liu, Zhao-Qian Liu, Hong-Hao Zhou   +3 more
core   +1 more source

Prognostic genes of triple‑negative breast cancer identified by weighted gene co‑expression network analysis

Oncology Letters, 2019
Triple-negative breast cancer (TNBC) is characterized by a deficiency in the estrogen receptor (ER), progesterone receptor (PR) and HER2/neu genes. Patients with TNBC have an increased likelihood of distant recurrence and mortality, compared with patients with other subtypes of breast cancer.
Bao, Ligang, Guo, Ting, Wang, Ji, Zhang, Kai, Bao, Maode   +4 more
openaire   +3 more sources

Identification of candidate miRNA biomarkers for pancreatic ductal adenocarcinoma by weighted gene co-expression network analysis [PDF]

, 2017
PURPOSE: Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy with a dismal prognosis which is, among others, due to a lack of suitable biomarkers and therapeutic targets.
PIVA, Francesco, F. Piva, M. Giulietti, PRINCIPATO, Giovanni, G. Principato, G. Occhipinti, GIULIETTI, MATTEO, OCCHIPINTI, GIULIA   +7 more
core   +1 more source

Protein co-expression network analysis (ProCoNA)

, 2013
Background Biological networks are important for elucidating disease etiology due to their ability to model complex high dimensional data and biological systems.
McWeeney, Shannon K, Kawaoka, Yoshihiro, Baratt, Arie, Baric, Ralph S., Gibbs, David L, Orwoll, Eric S, Katze, Michael G, Smith, Richard D   +7 more
core   +1 more source