weighted gene co-expression network analysis package (RStudio)
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Weighted Gene Co Expression Network Analysis Package, 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
https://www.bioz.com/product/weighted+gene+co-expression+network+analysis+package/weighted+gene+co+expression+network+analysis++wgcna++package/pm37030337-521-18-25
Average 90 stars, based on 1 article reviews
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Isolation: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: <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: 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: <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 Construct: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: <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 Expressing: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: <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 |
