Results 61 to 70 of about 245,963 (292)
Identification of hub genes related to prognosis in glioma [PDF]
Abstract Glioma, a common malignant tumor of the central nervous system, has high invasiveness. The objective of the present study was to identify genes playing an important role in the development of glioma and to reveal their potential research value.
Delong Zhang +5 more
openaire +2 more sources
This study aims to discover the genetic modules that distinguish glioblastoma multiforme (GBM) from low‐grade glioma (LGG) and identify hub genes. A co‐expression network is constructed using the expression profiles of 28 GBM and LGG patients from the ...
Dongdong Lin, Wei Li, Nu Zhang, Ming Cai
doaj +1 more source
Spatiotemporal dynamics of the postnatal developing primate brain transcriptome. [PDF]
Developmental changes in the temporal and spatial regulation of gene expression drive the emergence of normal mature brain function, while disruptions in these processes underlie many neurodevelopmental abnormalities.
Amaral, David G +12 more
core +1 more source
Identification of Immune-Related Hub Genes in Parkinson’s Disease
Background: Parkinson’s disease (PD) is a common, age-related, and progressive neurodegenerative disease. Growing evidence indicates that immune dysfunction plays an essential role in the pathogenic process of PD. The objective of this study was to explore potential immune-related hub genes and immune infiltration patterns of PD.Method: The microarray ...
Lin Chen +4 more
openaire +3 more sources
From access and integration to mining of secure genomic data sets across the grid [PDF]
The UK Department of Trade and Industry (DTI) funded BRIDGES project (Biomedical Research Informatics Delivered by Grid Enabled Services) has developed a Grid infrastructure to support cardiovascular research.
Sinnott, R.O.
core +2 more sources
Hub-Centered Gene Network Reconstruction Using Automatic Relevance Determination
Network inference deals with the reconstruction of biological networks from experimental data. A variety of different reverse engineering techniques are available; they differ in the underlying assumptions and mathematical models used. One common problem for all approaches stems from the complexity of the task, due to the combinatorial explosion of ...
M. Böck +4 more
openaire +4 more sources
Bioinformatics analysis of hub genes as osteoarthritis prognostic biomarkers
AbstractOsteoarthritis (OA) is a progressive cartilage degradation disease, concomitant with synovitis, osteophyte formation, and subchondral bone sclerosis. Over 37% of the elderly population is affected by OA, and the number of cases is increasing as the global population ages.
Junfeng Zeng +4 more
openaire +3 more sources
Rutin Effects on Human Senescent Stromal Cells Function: a Network Analysis Study [PDF]
Background and objectives: Rutin is a lipophilic natural flavonoid. It is found in vegetables, citrus fruits, and beverages. This study aims to evaluate rutin metabolic pathways in human senescent stromal cells.
Reza Robati +7 more
doaj +1 more source
Identification of biomarkers for Barcelona Clinic Liver Cancer staging and overall survival of patients with hepatocellular carcinoma. [PDF]
The aim of the current study was to identify biomarkers that correlate with the Barcelona Clinic Liver Cancer (BCLC) staging system and prognosis of patients with hepatocellular carcinoma (HCC).
Wei Xu +4 more
doaj +1 more source
Based on multiple bioinformatics methods and machine learning techniques, this study was designed to explore potential hub genes of gastric cancer with a diagnostic value.
Qiu Chen, Yu Wang, Yongjun Liu, Bin Xi
doaj +1 more source

