weighted gene co-expression network analysis (wgcna) package 26 (RStudio)
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Weighted Gene Co Expression Network Analysis (Wgcna) Package 26, supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Article Snippet: To screen the target gene regulated by DA treatment more accurately, transcriptome data were processed using the weighted Expressing:Article Title: Comparative Transcriptomic Profiles of Differentiated Adipocytes Provide Insights into Adipogenesis Mechanisms of Subcutaneous and Intramuscular Fat Tissues in Pigs Article Snippet: All annotated genes (FPKM > 0.01) were analyzed using the weighted Article Title: Analysis of lncRNA-Associated ceRNA Network Reveals Potential lncRNA Biomarkers in Human Colon Adenocarcinoma. Article Snippet: Results of OS are shown by Kaplan-Meier survival curves. mRNA targets of key lncRNAs related to survival We used the Article Title: Weighted Gene Coexpression Network Analysis Identifies Specific Modules and Hub Genes Related to Major Depression Article Snippet: As a systems biology method, the construction of gene coexpression networks and the identification of gene clusters or modules is especially useful in identifying transcriptional alterations in multigene diseases, where the phenotypic state emerges from the convergence of numerous small changes, rather than from isolated single-gene effects., In the present study, the Article Title: Integrated proteomic and transcriptomic landscape of macrophages in mouse tissues Article Snippet: The parameters for WGCNA were set as follows (in previous manuscript): A total of 277 PRR-signaling-pathway-related proteins were clustered into functional modules using a Article Title: Identification of hub genes and immune cell infiltration characteristics in chronic rhinosinusitis with nasal polyps: Bioinformatics analysis and experimental validation Article Snippet: As a systematic bioinformatics analysis method, we used the Article Title: <p>Weighted Gene Coexpression Network Analysis Identifies Specific Modules and Hub Genes Related to Major Depression</p> Article Snippet: Construction of Weighted Gene Coexpression Networks As a systems biology method, the construction of gene coexpression networks and the identification of gene clusters or modules is especially useful in identifying transcriptional alterations in multigene diseases, where the phenotypic state emerges from the convergence of numerous small changes, rather than from isolated single-gene effects.21,22 In the present study, the Article Title: Astragaloside IV attenuates podocyte apoptosis through ameliorating mitochondrial dysfunction by up-regulated Nrf2-ARE/TFAM signaling in diabetic kidney disease. Article Snippet: To screen the target gene regulated by DA treatment more accurately, transcriptome data were processed using the weighted Generated:Article Title: Comparative Transcriptomic Profiles of Differentiated Adipocytes Provide Insights into Adipogenesis Mechanisms of Subcutaneous and Intramuscular Fat Tissues in Pigs Article Snippet: All annotated genes (FPKM > 0.01) were analyzed using the weighted Article Title: Analysis of lncRNA-Associated ceRNA Network Reveals Potential lncRNA Biomarkers in Human Colon Adenocarcinoma. Article Snippet: Results of OS are shown by Kaplan-Meier survival curves. mRNA targets of key lncRNAs related to survival We used the Article Title: Weighted Gene Coexpression Network Analysis Identifies Specific Modules and Hub Genes Related to Major Depression Article Snippet: As a systems biology method, the construction of gene coexpression networks and the identification of gene clusters or modules is especially useful in identifying transcriptional alterations in multigene diseases, where the phenotypic state emerges from the convergence of numerous small changes, rather than from isolated single-gene effects., In the present study, the Article Title: Integrated proteomic and transcriptomic landscape of macrophages in mouse tissues Article Snippet: The parameters for WGCNA were set as follows (in previous manuscript): A total of 277 PRR-signaling-pathway-related proteins were clustered into functional modules using a Article Title: Identification of hub genes and immune cell infiltration characteristics in chronic rhinosinusitis with nasal polyps: Bioinformatics analysis and experimental validation Article Snippet: As a systematic bioinformatics analysis method, we used the Article Title: <p>Weighted Gene Coexpression Network Analysis Identifies Specific Modules and Hub Genes Related to Major Depression</p> Article Snippet: Construction of Weighted Gene Coexpression Networks As a systems biology method, the construction of gene coexpression networks and the identification of gene clusters or modules is especially useful in identifying transcriptional alterations in multigene diseases, where the phenotypic state emerges from the convergence of numerous small changes, rather than from isolated single-gene effects.21,22 In the present study, the Article Title: Astragaloside IV attenuates podocyte apoptosis through ameliorating mitochondrial dysfunction by up-regulated Nrf2-ARE/TFAM signaling in diabetic kidney disease. Article Snippet: To screen the target gene regulated by DA treatment more accurately, transcriptome data were processed using the weighted Isolation:Article Title: Comparative Transcriptomic Profiles of Differentiated Adipocytes Provide Insights into Adipogenesis Mechanisms of Subcutaneous and Intramuscular Fat Tissues in Pigs Article Snippet: All annotated genes (FPKM > 0.01) were analyzed using the weighted Article Title: Analysis of lncRNA-Associated ceRNA Network Reveals Potential lncRNA Biomarkers in Human Colon Adenocarcinoma. Article Snippet: Results of OS are shown by Kaplan-Meier survival curves. mRNA targets of key lncRNAs related to survival We used the Article Title: Weighted Gene Coexpression Network Analysis Identifies Specific Modules and Hub Genes Related to Major Depression Article Snippet: As a systems biology method, the construction of gene coexpression networks and the identification of gene clusters or modules is especially useful in identifying transcriptional alterations in multigene diseases, where the phenotypic state emerges from the convergence of numerous small changes, rather than from isolated single-gene effects., In the present study, the Article Title: Integrated proteomic and transcriptomic landscape of macrophages in mouse tissues Article Snippet: The parameters for WGCNA were set as follows (in previous manuscript): A total of 277 PRR-signaling-pathway-related proteins were clustered into functional modules using a Article Title: Identification of hub genes and immune cell infiltration characteristics in chronic rhinosinusitis with nasal polyps: Bioinformatics analysis and experimental validation Article Snippet: As a systematic bioinformatics analysis method, we used the Article Title: <p>Weighted Gene Coexpression Network Analysis Identifies Specific Modules and Hub Genes Related to Major Depression</p> Article Snippet: Construction of Weighted Gene Coexpression Networks As a systems biology method, the construction of gene coexpression networks and the identification of gene clusters or modules is especially useful in identifying transcriptional alterations in multigene diseases, where the phenotypic state emerges from the convergence of numerous small changes, rather than from isolated single-gene effects.21,22 In the present study, the Article Title: Astragaloside IV attenuates podocyte apoptosis through ameliorating mitochondrial dysfunction by up-regulated Nrf2-ARE/TFAM signaling in diabetic kidney disease. Article Snippet: To screen the target gene regulated by DA treatment more accurately, transcriptome data were processed using the weighted Software:Article Title: Comparative Transcriptomic Profiles of Differentiated Adipocytes Provide Insights into Adipogenesis Mechanisms of Subcutaneous and Intramuscular Fat Tissues in Pigs Article Snippet: All annotated genes (FPKM > 0.01) were analyzed using the weighted Article Title: Analysis of lncRNA-Associated ceRNA Network Reveals Potential lncRNA Biomarkers in Human Colon Adenocarcinoma. Article Snippet: Results of OS are shown by Kaplan-Meier survival curves. mRNA targets of key lncRNAs related to survival We used the Article Title: Weighted Gene Coexpression Network Analysis Identifies Specific Modules and Hub Genes Related to Major Depression Article Snippet: As a systems biology method, the construction of gene coexpression networks and the identification of gene clusters or modules is especially useful in identifying transcriptional alterations in multigene diseases, where the phenotypic state emerges from the convergence of numerous small changes, rather than from isolated single-gene effects., In the present study, the Article Title: Integrated proteomic and transcriptomic landscape of macrophages in mouse tissues Article Snippet: The parameters for WGCNA were set as follows (in previous manuscript): A total of 277 PRR-signaling-pathway-related proteins were clustered into functional modules using a Article Title: Identification of hub genes and immune cell infiltration characteristics in chronic rhinosinusitis with nasal polyps: Bioinformatics analysis and experimental validation Article Snippet: As a systematic bioinformatics analysis method, we used the Article Title: <p>Weighted Gene Coexpression Network Analysis Identifies Specific Modules and Hub Genes Related to Major Depression</p> Article Snippet: Construction of Weighted Gene Coexpression Networks As a systems biology method, the construction of gene coexpression networks and the identification of gene clusters or modules is especially useful in identifying transcriptional alterations in multigene diseases, where the phenotypic state emerges from the convergence of numerous small changes, rather than from isolated single-gene effects.21,22 In the present study, the Article Title: Astragaloside IV attenuates podocyte apoptosis through ameliorating mitochondrial dysfunction by up-regulated Nrf2-ARE/TFAM signaling in diabetic kidney disease. Article Snippet: To screen the target gene regulated by DA treatment more accurately, transcriptome data were processed using the weighted |
