Results 71 to 80 of about 57,794 (383)

Identification of key LncRNAs and mRNAs associated with intramuscular fat in pig via WGCNA

open access: yesBMC Genomics
Intramuscular fat (IMF) not only directly affects the tenderness, juiciness, and overall flavour of meat but also plays a significant role in influencing consumer preferences for pork.
Wenqiang Li   +8 more
semanticscholar   +1 more source

Platelets-related signature based diagnostic model in rheumatoid arthritis using WGCNA and machine learning

open access: yesFrontiers in Immunology, 2023
Background and aim Rheumatoid arthritis (RA) is an autoinflammatory disease that may lead to severe disability. The diagnosis of RA is limited due to the need for biomarkers with both reliability and efficiency.
Yuchen Liu   +7 more
semanticscholar   +1 more source

Dopamine perturbation of gene co-expression networks reveals differential response in schizophrenia for translational machinery. [PDF]

open access: yes, 2018
The dopaminergic hypothesis of schizophrenia (SZ) postulates that positive symptoms of SZ, in particular psychosis, are due to disturbed neurotransmission via the dopamine (DA) receptor D2 (DRD2).
Blondell, Lucy   +8 more
core   +4 more sources

Exploration of key genes and pathways in response to submergence stress in red clover (Trifolium pratense L.) by WGCNA

open access: yesBMC Plant Biology
Submergence stress is a prevalent abiotic stress affecting plant growth and development and can restrict plant cultivation in areas prone to flooding. Research on plant submergence stress tolerance has been essential in managing plant production under ...
Panpan Shang   +6 more
semanticscholar   +1 more source

Genetic architecture and key regulatory genes of fatty acid composition in Gushi chicken breast muscle determined by GWAS and WGCNA

open access: yesBMC Genomics, 2023
Background Fatty acids composition in poultry muscle is directly related to its tenderness, flavour, and juiciness, whereas its genetic mechanisms have not been elucidated.
Shengxin Fan   +12 more
semanticscholar   +1 more source

Weighted Correlation Network Analysis (WGCNA) Applied to the Tomato Fruit Metabolome

open access: yesPLoS ONE, 2011
Advances in "omics" technologies have revolutionized the collection of biological data. A matching revolution in our understanding of biological systems, however, will only be realized when similar advances are made in informatic analysis of the resulting "big data." Here, we compare the capabilities of three conventional and novel statistical ...
Matthew V DiLeo   +3 more
openaire   +4 more sources

Identification of potential biomarkers for endometrial carcinoma based on WGCNA

open access: yes, 2022
Abstract Background Endometrial carcinoma (EC) is a group of malignant epithelial tumors occurring in the endometrium. With the increasing incidence of recent years, identifying the molecular mechanisms associated with endometrial carcinoma has become particularly important for the early diagnosis and treatment of cancer. Methods RNA-seq data
Lei Wang   +11 more
openaire   +1 more source

Identification of susceptibility modules and hub genes of osteoarthritis by WGCNA analysis

open access: yesFrontiers in Genetics, 2022
Osteoarthritis (OA) is a major cause of pain, disability, and social burden in the elderly throughout the world. Although many studies focused on the molecular mechanism of OA, its etiology remains unclear. Therefore, more biomarkers need to be explored to help early diagnosis, clinical outcome measurement, and new therapeutic target development.
Yanchao Wang   +19 more
openaire   +3 more sources

Ovarian Matrisome Dynamics and αvβ3‐Mediated Regulation in Early Follicular Development

open access: yesAdvanced Science, EarlyView.
The matrisome undergoes dynamic remodeling during early follicular development. Integrin αvβ3 mediates matrisome signals, regulating primordial follicle activation/atresia and secondary follicle growth via Hippo/mTOR pathways, with conserved roles in human ovaries, offering therapeutic targets for ovarian disorders.
Tong Wu   +12 more
wiley   +1 more source

Fuzzy Forests: Extending Random Forest Feature Selection for Correlated, High-Dimensional Data

open access: yesJournal of Statistical Software, 2019
In this paper we introduce fuzzy forests, a novel machine learning algorithm for ranking the importance of features in high-dimensional classification and regression problems. Fuzzy forests is specifically designed to provide relatively unbiased rankings
Daniel Conn   +3 more
doaj   +1 more source

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