Results 271 to 279 of about 100,698 (279)
Some of the next articles are maybe not open access.

Predicting Hub Genes Associated with Cervical Cancer through Gene Co-Expression Networks

IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2016
Cervical cancer is the third most common malignancy in women worldwide. It remains a leading cause of cancer-related death for women in developing countries. In order to contribute to the treatment of the cervical cancer, in our work, we try to find a few key genes resulting in the cervical cancer.
Su-Ping, Deng   +2 more
openaire   +2 more sources

Identification of Potential Hub Genes in Alopecia Areata

Experimental Dermatology
ABSTRACT Alopecia areata (AA) is an immune‐mediated chronic alopecia disease, but its specific pathogenesis is unclear. Gene expression data for AA patients (AAs) and healthy controls (HCs) were retrieved from the GEO database, and the differentially expressed genes (DEGs) between AAs and HCs were identified.
Runqiu Liu   +7 more
openaire   +2 more sources

Unveiling the Hub Genes Involved in Cadmium-Induced Hepatotoxicity

Biological Trace Element Research
Cadmium (Cd) is a highly toxic heavy metal that can cause severe liver damage in both humans and animals. However, the specific genes responsible for Cd-induced hepatotoxicity are still not fully understood. Therefore, the aim of this study was to identify the key genes associated with Cd-induced liver damage.
Bing, Yang   +3 more
openaire   +2 more sources

Identification of hub genes in calcific aortic valve disease

Computers in Biology and Medicine
Calcific aortic valve disease (CAVD) is a heart valve disorder characterized primarily by calcification of the aortic valve, resulting in stiffness and dysfunction of the valve. CAVD is prevalent among aging populations and is linked to factors such as hypertension, dyslipidemia, tobacco use, and genetic predisposition, and can result in becoming a ...
Qian-Cheng Lai   +11 more
openaire   +2 more sources

The ENCODE Gene Set Hub

2017
Ziemann, Mark   +3 more
openaire   +1 more source

Exploring gene expression signatures in preeclampsia and identifying hub genes through bioinformatic analysis

Placenta
Preeclampsia (PE) is a multisystem disease that affects women during the pregnancy. Its pathogenicity remains unclear, and no definitive screening test can predict its occurrence so far. The aim of this study is to identify the critical genes that are involved in the pathogenicity of PE by applying integrated bioinformatic methods and to investigate ...
openaire   +2 more sources

Home - About - Disclaimer - Privacy