Results 111 to 120 of about 43,312 (289)
Molecular characterizations, including microsatellite instability (MSI) and the CpG island methylator phenotype (CIMP) showed strong associations in colorectal carcinoma (CRC) and provided a deeper understanding of the etiology of disease.
Qili Shi +8 more
doaj +1 more source
The intersection genes of WGCNA and PPI.
The intersection genes obtained from WGCNA and PPI. (DOCX)
Xiaochen Pei (18389120) +4 more
core +1 more source
R code for WGCNA analysis of metabolomic data from back fat in Ningxiang pigs.
openaire +1 more source
Objective Pathological bone formation in ankylosing spondylitis (AS) is not fully reflected by systemic inflammation, limiting the utility of inflammatory markers for structural damage assessment. This study aimed to identify plasma protein signatures associated with structural damage severity in AS.
Tiantian Sun +9 more
wiley +1 more source
Functional analysis of key expression patterns of WGCNA.
A) Expression patterns of different modules of WGCNA; B) KO enrichment bubble diagram of genes in darkorange2 module; C) KO enrichment bubble diagram of genes in honeydew1 module.
Aigai Zhang (6852167) +4 more
core +1 more source
Abstract Aim Mebendazole (MBZ), a benzimidazole anthelmintic with established clinical use, has emerged as a repurposing candidate for primary brain tumours due to its multimodal anticancer actions and central nervous system penetrance. This systematic review synthesizes preclinical and clinical evidence evaluating MBZ's efficacy, mechanisms of action ...
Ciara B. Blum +5 more
wiley +1 more source
ABSTRACT In this study, we identified gene modules and representative candidate biomarkers linked to clinical progression in patients with UBC. Weighted gene co‐expression network analysis (WGCNA) was used to identify gene modules associated with TNM staging in UBC patients.
Arshia Azmoudeh
wiley +1 more source
WGCNA analysis for CAD and RA training datasets.
A and D A soft threshold determination plot was generated for CAD and RA training datasets, with an optimal power of 10 for CAD and 7 for RA. B and E WGCNA module identification and clustering dendrogram of DEGs in CAD and RA training datasets.
Xiaodan Fu (11920735) +7 more
core +1 more source
iterativeWGCNA: iterative refinement to improve module detection from WGCNA co-expression networks
Weighted-gene correlation network analysis (WGCNA) is frequently used to identify highly co-expressed clusters of genes (modules) within whole-transcriptome datasets.
Emily Greenfest-Allen +3 more
core +1 more source
Transcriptomic analysis reveals distinct expression patterns in focal cortical dysplasia
Abstract Objective Focal cortical dysplasia (FCD) is a common cause of drug‐resistant epilepsy in children and adults and exhibits substantial clinical and histopathological heterogeneity. However, morphological classification alone does not fully explain variability in epileptogenicity, disease severity, or treatment response.
Shivani Sonawane +20 more
wiley +1 more source

