Results 101 to 110 of about 33,188 (253)
Performance comparison for C3D, WGCNA and DiffCoEx methods
Top, three cluster types (“common” “nested” and “overlapping”) were simulated in conditions where the cluster size () is reported for both the intersection and union part of the clusters.
Aida Moreno-Moral (505400) +4 more
core +1 more source
Transcriptomics Unveil Dsx1 as a Critical Regulator in Sexual Dimorphism of Crustaceans
Sexually dimorphic traits are involved in reproductive competition and are shaped by sex‐biased gene expression. This study identifies Dsx1 as a key male‐biased gene in Morinoia aosen and demonstrates through RNA interference that its disruption feminizes male‐specific T3 leg structures.
Yan Tong +8 more
wiley +1 more source
WGCNA identified 15 modules in our anti-CD3/CD28 stimulated dataset.
WGCNA identified 15 modules in our anti-CD3/CD28 stimulated dataset.
Emma M. Quinn (394306) +7 more
core +1 more source
We exposed human nasal epithelial tissues to pollen from grasses grown under different climate treatments (temperature and CO2). Pollen weakened epithelial tight junctions and altered cytokine‐related gene expression, with similar protein‐level effects.
Tarleena Tossavainen +5 more
wiley +1 more source
WGCNA input. Normalized-transformed counts for the differentially expressed genes
Tab-delimited text file containing the cqn normalized and log2 transformed counts (using the conditional quantile normalization method) for the 1,186 differentially expressed genes between pigmented and depigmented opossums.
Hu, Yibo, Nigenda-Morales, Sergio
core +1 more source
Integrated methylome–transcriptome–microbiome analysis of AD skin identified thousands of DMRs. Rho GTPase signaling and actin–junctional programs emerged as central hubs integrating immune, epithelial, and microbial interactions in the pathogenesis of atopic dermatitis.
Tiina Skoog +22 more
wiley +1 more source
The lung cancer risk of each sample in GSE7670 by the WGCNA method.
The lung cancer risk of each sample in GSE7670 by the WGCNA method.
Xu Jia (187142) +13 more
core +1 more source
Nasal Airway Transcriptome Reflects Selected Asthma‐Associated Gene Signatures in the Lower Airways
Seven genes and two gene modules were consistently associated with asthma in both airway compartments in ARMS and were validated in ATLANTIS. The two modules reflected IL‐13 related inflammation and mast cell activity, respectively. Nasal gene signatures provide a non‐invasive proxy for selected bronchial asthma‐associated gene signatures. ARMS, Asthma
Hui Wen +22 more
wiley +1 more source
Exploring qpcr data with weighted gene coexpression network analysis (WGCNA)
Differently expressed genes e.g. in a disease may play a role in the etiology or progression of the disease. The traditional approach of finding differentially expressed genes is to compare the expression levels in the groups, and produce a list of ...
Morland, Sara
core
Abstract Background Prostate cancer (PCa) represents a significant health challenge for men, and the advancement of the disease often results in a grave prognosis for patients. Therefore, the identification of biomarkers associated with the diagnosis and prognosis of PCa holds paramount importance in patient health ...
Xi Xiao +6 more
openaire +3 more sources

