Results 101 to 110 of about 69,571 (187)

Potential biomarkers of acute myocardial infarction based on weighted gene co-expression network analysis

open access: yes, 2019
Background Acute myocardial infarction (AMI) is the common cause of mortality in developed countries. The feasibility of whole-genome gene expression analysis to identify outcome-related genes and dysregulated pathways remains unknown.
Junhua Gu   +3 more
core   +1 more source

Fuzzy Clustering Models for Gene Expression Data Analysis

open access: yes
With the advent of microarray technology, it is possible to monitor gene expression of tens of thousands of genes in parallel. In order to gain useful biological knowledge, it is necessary to study the data and identify the underlying patterns, which ...
Wang, Yu
core  

PTOMSM: A modified version of Topological Overlap Measure used for predicting Protein-Protein Interaction Network

open access: yes, 2009
A variety of methods are developed to integrating diverse biological data to predict novel interaction relationship between proteins. However, traditional integration can only generate protein interaction pairs within existing relationships.
Xun Huang
core   +1 more source

Identification of biomarkers of chromophobe renal cell carcinoma by weighted gene co-expression network analysis

open access: yes, 2018
Background Chromophobe renal cell carcinoma (ChRCC) is the second common subtype of non-clear cell renal cell carcinoma (nccRCC), which accounting for 4–5% of renal cell carcinoma (RCC).
Jianfeng Wang, Jin Zhang, Xiaomao Yin
core   +1 more source

Weighted gene co-expression network analysis identified six hub genes associated with rupture of intracranial aneurysms

open access: yes, 2020
Intracranial aneurysms (IAs) are characterized by localized dilation or ballooning of a cerebral artery. When IAs rupture, blood leaks into the space around the brain to create a subarachnoid hemorrhage.
Zhongxi Yang (8478594)   +7 more
core   +1 more source

A General Framework for Weighted Gene Co-Expression Network Analysis

open access: yes
Gene co-expression networks are increasingly used to explore the system-level functionality of genes. The network construction is conceptually straightforward: nodes represent genes and nodes are connected if the corresponding genes are significantly co ...
Zhang Bin, Horvath Steve
core  

Weighted Gene Coexpression Network Analysis Identifies Neutrophil-Related Molecular Subtypes and Their Clinical Significance in Gastric Cancer

open access: yes
Chujia Chen,1,2,* Yongfu Shao,1,* Chengyuan Ye,2 Xuan Yu,2 Meng Hu,2 Jianing Yan,1 Guoliang Ye1 1Department of Gastroenterology, The First Affiliated Hospital of Ningbo University, Ningbo, 315020, People’s Republic of China; 2Health Science ...
Yan J   +6 more
core  

Exploration and validation of signature genes and immune associations in septic cardiomyopathy

open access: yesClinical and Experimental Hypertension
An early and accurate diagnosis of septic cardiomyopathy is vital for improving the overall prognosis of sepsis. In our research, we aimed to identify signature genes and their immune connections in septic cardiomyopathy.
Zhengbo Zhao   +7 more
doaj   +1 more source

Co-Expression Network Analysis and Molecular Docking Demonstrate That Diosgenin Inhibits Gastric Cancer Progression via SLC1A5/mTORC1 Pathway

open access: yes
Ning Cui,1 Feng Ding2 1Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, People’s Republic of China; 2Department of Gastroenterology, Zhongnan Hospital of Wuhan University, Wuhan, People’s Republic of ChinaCorrespondence: Feng ...
Ding F, Cui N
core  

A Weighted Gene Co-expression Network Analysis for Streptococcus sanguinis Microarray Experiments

open access: yes, 2016
Streptococcus sanguinis is a gram-positive, non-motile bacterium native to human mouths. It is the primary cause of endocarditis and is also responsible for tooth decay. Two-component systems (TCSs) are commonly found in bacteria.
Dvergsten, Erik C
core   +1 more source

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