Results 61 to 70 of about 100,698 (279)

SWIM: A computational tool to unveiling crucial nodes in complex biological networks [PDF]

open access: yes, 2017
SWItchMiner (SWIM) is a wizard-like software implementation of a procedure, previously described, able to extract information contained in complex networks.
Colombo, Teresa   +5 more
core   +2 more sources

Network Analyses of Differentially Expressed Genes in Osteoarthritis to Identify Hub Genes [PDF]

open access: yesBioMed Research International, 2019
Background. Osteoarthritis (OA) is the most common degenerative disease in orthopedics. However, the cause and underlying molecular mechanisms are not clear. This study aims to identify the hub genes and pathways involved in the occurrence of osteoarthritis. Methods.
Zhaoyan Li   +8 more
openaire   +2 more sources

Identification and validation of hub genes for diabetic retinopathy

open access: yesPeerJ, 2021
Background Diabetic retinopathy (DR) is characterized by a gradually progressive alteration in the retinal microvasculature that leads to middle-aged adult acquired persistent blindness. Limited research has been conducted on DR pathogenesis at the gene level.
Li Peng, Wei Ma, Qing Xie, Baihua Chen
openaire   +3 more sources

Identification of hub genes related to prognosis in glioma [PDF]

open access: yesBioscience Reports, 2020
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

Identification of hub genes predicting the development of prostate cancer from benign prostate hyperplasia and analyzing their clinical value in prostate cancer by bioinformatic analysis

open access: yesDiscover Oncology, 2022
Prostate cancer (PCa) and benign prostate hyperplasia (BPH) are commonly encountered diseases in males. Studies showed that genetic factors are responsible for the occurrences of both diseases.
Xi Chen   +9 more
doaj   +1 more source

Evaluation of genes and molecular pathway related pathogenesis of endometriosis: A bioinformatics approach

open access: yesInformatics in Medicine Unlocked, 2023
Objective: Although recent studies have focused on the role of genes in the pathogenesis of endometriosis, the investigation of genes and molecular pathways involved in the pathogenesis of endometriosis with a bioinformatics approach has not been ...
Mahin Khalilzadeh Seivani   +5 more
doaj   +1 more source

The pros and comms of gene sequencing [PDF]

open access: yes, 2017
Full-gene sequencing undoubtedly comes with its pluses and its minuses. In this article, the authors aim to weigh up the pros and cons not only from the point of view of the patient but also in view of the doctor's possible perspective.
Codacci Pisanelli, Giovanni   +3 more
core   +2 more sources

Identification of Immune-Related Hub Genes in Parkinson’s Disease

open access: yesFrontiers in Genetics, 2022
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

Significance of hub genes and immune cell infiltration identified by bioinformatics analysis in pelvic organ prolapse [PDF]

open access: yesPeerJ, 2020
Objective Pelvic organ prolapse (POP) refers to the decline of pelvic organ position and dysfunction caused by weak pelvic floor support. The aim of the present study was to screen the hub genes and immune cell infiltration related to POP disease ...
Ying Zhao   +3 more
doaj   +2 more sources

Hub-Centered Gene Network Reconstruction Using Automatic Relevance Determination

open access: yesPLoS ONE, 2012
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

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