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

