Results 61 to 70 of about 243,473 (347)
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
BackgroundAntineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) is a systemic autoimmune disease that generally induces the progression of rapidly progressive glomerulonephritis (GN).
Meng-Di Xia +4 more
doaj +1 more source
Maximal switchability of centralized networks
We consider continuous time Hopfield-like recurrent networks as dynamical models for gene regulation and neural networks. We are interested in networks that contain n high-degree nodes preferably connected to a large number of Ns weakly connected ...
Morozov, Ivan +2 more
core +3 more sources
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
Evolutionary and molecular foundations of multiple contemporary functions of the nitroreductase superfamily. [PDF]
Insight regarding how diverse enzymatic functions and reactions have evolved from ancestral scaffolds is fundamental to understanding chemical and evolutionary biology, and for the exploitation of enzymes for biotechnology.
Akiva, Eyal +3 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
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
Key genes and regulatory networks for diabetic retinopathy based on hypoxia-related genes: a bioinformatics analysis [PDF]
AIM: To prevent neovascularization in diabetic retinopathy (DR) patients and partially control disease progression. METHODS: Hypoxia-related differentially expressed genes (DEGs) were identified from the GSE60436 and GSE102485 datasets, followed by gene ...
Cai-Han Yu +5 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

