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ProteomicsProteomic analysis of plasma and duodenal tissue in patients with celiac disease: identification of potential diagnostic noninvasive biomarkers
The pathogenesis of celiac disease (CeD) remains incompletely understood. Traditional diagnostic techniques for CeD include serological testing and endoscopic examination; however, they have limitations. Therefore, there is a need to identify novel noninvasive biomarkers for CeD diagnosis. We analyz...
ORGANISM(S): Homo sapiens (Human) 
2024-11-15 | PXD057692 | Pride
Celiac disease  4d-dia proteomics  machine learning  wgcna  marsh classification  biomarker 
GenomicsInvestigating the phenotypic plasticity of two red grapevine varieties: an integrated study of transcriptome and environmentome by WGCNA
Investigating the phenotypic plasticity of two red grapevine varieties: an integrated study of transcriptome and environmentome by WGCNA
PRJNA1088419 | ENA
GenomicsWGCNA Analysis and Identification of Key Genes in Tobacco in Response to Different Nitrogen Levels
WGCNA Analysis and Identification of Key Genes in Tobacco in Response to Different Nitrogen Levels
PRJNA1146944 | ENA
GenomicsIdentification of Key Pathways and Genes in the Progression of Silicosis Fibrosis Based on WGCNA
Identification of Key Pathways and Genes in the Progression of Silicosis Fibrosis Based on WGCNA
PRJNA839386 | ENA
TranscriptomicsInvestigating the phenotypic plasticity of two red grapevine varieties: an integrated study of transcriptome and environmentome by WGCNA
Grapevine (Vitis spp., family Vitaceae) is characterized by a marked phenotypic plasticity and its ability to withstand various environmental conditions depends on the activation of highly coordinated responses, resulting from the interaction among genotypes (G) and environmental factors (E). Unders...
ORGANISM(S): Vitis vinifera 
2024-04-14 | GSE261685 | GEO
UnknownIdentification of susceptibility modules and hub genes of osteoarthritis by WGCNA analysis.
Not available
S-EPMC9718428 | biostudies-literature
UnknownGene expression data analysis using Hellinger correlation in weighted gene co-expression networks (WGCNA).
Not available
S-EPMC9307959 | biostudies-literature
TranscriptomicsWGCNA Analysis and Identification of Key Genes in Tobacco in Response to Different Nitrogen Levels
Background :Nitrogen (N) supply directly impacts growth and quality in flue-cured tobacco. To decipher molecular responses to N gradients, we integrated transcriptomics and weighted gene co-expression network analysis (WGCNA) on leaves from four N treatments: 0 (inherent soil fertility), 60 (low), 1...
ORGANISM(S): Nicotiana tabacum 
2025-03-17 | GSE274518 | GEO
GenomicsIdentification of crucial modules and genes associated with backfat tissue development by WGCNA in Ningxiang pigs
Identification of crucial modules and genes associated with backfat tissue development by WGCNA in Ningxiang pigs
PRJNA983245 | ENA
UnknownCWGCNA: an R package to perform causal inference from the WGCNA framework.
Not available
S-EPMC11044439 | biostudies-literature
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