Results 51 to 60 of about 243,473 (347)

Identification of hub genes and regulatory networks in histologically unstable carotid atherosclerotic plaque by bioinformatics analysis

open access: yesBMC Medical Genomics, 2022
Objective This study identified underlying genetic molecules associated with histologically unstable carotid atherosclerotic plaques through bioinformatics analysis that may be potential biomarkers and therapeutic targets.
Julong Guo   +4 more
doaj   +1 more source

Weighted Gene Co-Expression Network Analysis and Treatment Strategies of Tumor Recurrence-Associated Hub Genes in Lung Adenocarcinoma

open access: yesFrontiers in Genetics, 2021
Despite the recent progress of lung adenocarcinoma (LUAD) therapy, tumor recurrence remained to be a challenging factor that impedes the effectiveness of treatment. The objective of the present study was to predict the hub genes affecting LUAD recurrence
Zhengze Shen   +4 more
doaj   +1 more source

Hub gene target of glioblastoma: LOX, SERPINH1 and TGFBI

open access: yesMedicine, 2022
Glioblastoma (GBM) is a malignant tumor. The long-term prognosis of the patients is poor. Therefore, it is of important clinical value to further explore the pathogenesis and look for molecular markers for early diagnosis and targeted treatment.
Shuyuan Zhang   +7 more
openaire   +2 more sources

Accounting for genetic interactions improves modeling of individual quantitative trait phenotypes in yeast. [PDF]

open access: yes, 2016
Experiments in model organisms report abundant genetic interactions underlying biologically important traits, whereas quantitative genetics theory predicts, and data support, the notion that most genetic variance in populations is additive.
Bloom, Joshua S   +4 more
core   +3 more sources

Prediction and analysis of osteoarthritis hub genes with bioinformatics

open access: yesAnnals of Translational Medicine, 2023
Osteoarthritis (OA) is the most common type of arthritis. OA can cause joint pain, stiffness, and loss of function. The pathogenesis of OA is not completely clear. Moreover, there is no effective treatment, and clinical management is limited to symptomatic relief or joint surgery.
Zhong, Junqing, Xiang, Ding, Ma, Xinlong
openaire   +2 more sources

Co-expression network analysis identified six hub genes in association with progression and prognosis in human clear cell renal cell carcinoma (ccRCC)

open access: yesGenomics Data, 2017
Human clear cell renal cell carcinoma (ccRCC) is one of the most common types of malignant adult kidney tumors. We constructed a weighted gene co-expression network to identify gene modules associated with clinical features of ccRCC (n = 97).
Lushun Yuan   +6 more
doaj   +1 more source

Identification of oxidative stress-related genes differentially expressed in Alzheimer’s disease and construction of a hub gene-based diagnostic model

open access: yesScientific Reports, 2023
Alzheimer’s disease (AD) is the most prevalent dementia disorder globally, and there are still no effective interventions for slowing or stopping the underlying pathogenic mechanisms.
Yanting Zhang, Hisanori Kiryu
doaj   +1 more source

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

Screening of the key genes and signaling pathways for schizophrenia using bioinformatics and next generation sequencing data analysis

open access: yesItalian Journal of Medicine
Schizophrenia is thought to be the most prevalent chronic psychiatric disorder. Researchers have identified numerous proteins associated with the occurrence and development of schizophrenia. This study aimed to identify potential core genes and pathways
Iranna Kotturshetti   +4 more
doaj   +1 more source

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