Results 41 to 50 of about 43,312 (289)

Macrophage M2 related markers identified by WGCNA analysis.

open access: yes, 2023
Macrophage M2 related markers identified by WGCNA analysis.
Qian Feng (302178)   +2 more
core   +1 more source

M1 macrophage-related prognostic model by combining bulk and single-cell transcriptomic data in NSCLC [PDF]

open access: yesExploration of Medicine
Aim: Lung cancer is the leading cause of cancer-related deaths worldwide. Non-small cell lung cancer (NSCLC) is the most common subtype. Despite recent advancements in diagnostics and therapies, only a small percentage of patients benefit from ...
Zhe Liu   +6 more
doaj   +1 more source

Potential value of differential expression of CDC42 gene in adult and umbilical cord blood reticulocytes

open access: yesZhongguo shuxue zazhi, 2023
Objective To explore critical regulatory genes in the hemoglobin switch process by analyzing transcriptomic data from the GSE6236, GSE17639 and GSE35102 datasets.
Jinchao WANG, Genhao ZHANG
doaj   +1 more source

Identification of hub and bottleneck genes from the WGCNA network.

open access: yes, 2022
Identification of hub and bottleneck genes from the WGCNA network.
Sandrine Auger (3494339)   +5 more
core   +1 more source

WGCNA combined with machine learning to find potential biomarkers of liver cancer

open access: yesMedicine, 2023
The incidence of hepatocellular carcinoma (HCC) has been increasing in recent years. With the development of various detection technologies, machine learning is an effective method to screen disease characteristic genes. In this study, weighted gene co-expression network analysis (WGCNA) and machine learning are combined to find potential biomarkers of
Lv, Jia-Hao   +6 more
openaire   +2 more sources

Identification of Underlying Hub Genes Associated with Hypertrophic Cardiomyopathy by Integrated Bioinformatics Analysis

open access: yesPharmacogenomics and Personalized Medicine, 2021
Zetao Ma,1,2,* Xizhi Wang,1,* Qingbo Lv,1 Yingchao Gong,1 Minghong Xia,1 Lenan Zhuang,1 Xue Lu,1 Ying Yang,1 Wenbin Zhang,1 Guosheng Fu,1 Yang Ye,1 Dongwu Lai1 1Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang ...
Ma Z   +11 more
doaj  

Identification of candidate biomarkers for GBM based on WGCNA

open access: yesScientific Reports
AbstractGlioblastoma multiforme (GBM), the most aggressive form of primary brain tumor, poses a considerable challenge in neuro-oncology. Despite advancements in therapeutic approaches, the prognosis for GBM patients remains bleak, primarily attributed to its inherent resistance to conventional treatments and a high recurrence rate. The primary goal of
Qinghui Sun   +5 more
openaire   +3 more sources

Three selected WGCNA modules.

open access: yes, 2019
Three selected WGCNA modules.
Daniel J. Wallace (8067254)   +10 more
core   +1 more source

Accurate and noninvasive prostate cancer detection using plasma‐derived extracellular vesicle RNA

open access: yesFEBS Open Bio, EarlyView.
Plasma extracellular vesicles were captured with WGA‐conjugated magnetic beads and profiled for RNA biomarkers. A three‐RNA panel (NM_024955, NR_047469, and NR_002564) distinguished prostate cancer from healthy controls and benign prostatic hyperplasia, supporting a simple, noninvasive approach to improve prostate cancer detection.
Hanping Wei, Haoran Wu, Wei Feng
wiley   +1 more source

WGCNA script

open access: yes, 2015
Script for network analysis of gene expression using the R package WGCNA. The script will require variance stabilized gene expression data for all samples and a table of trait values for each ...
Mikhail V. Matz (51701)   +7 more
core   +1 more source

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