Analysis of the scale-free fit index for various soft-thresholding

Analysis of the scale-free fit index for various soft-thresholding

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Prognostic genes of melanoma identified by weighted gene co‑expression network analysis and drug repositioning using a network‑based method

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https://www.researchgate.net/publication/371042135/figure/fig2/AS:11431281162098116@1685136056016/WGCNA-analysis-A-Analysis-of-the-scale-free-fit-index-for-various-soft-thresholding.jpg

WGCNA analysis. (A) Analysis of the scale-free fit index for various

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Identification of potential proteases for abdominal aortic aneurysm by weighted gene coexpression network analysis

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Why is `scale-free topology` estimated as -sign(slope) * (R^2) in WGCNA?

https://www.degruyter.com/document/doi/10.2478/jtim-2022-0053/asset/graphic/j_jtim-2022-0053_fig_003.jpg

A comprehensive weighted gene co-expression network analysis uncovers potential targets in diabetic kidney disease

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Problem getting soft threshold power using WGCNA for RNA-seq data

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Analysis of gene co‑expression network reveals prognostic significance of CNFN in patients with head and neck cancer

https://journals.sagepub.com/cms/10.1177/1073274820978817/asset/images/large/10.1177_1073274820978817-fig3.jpeg

Identification of Key Modules and Hub Genes Involved in Esophageal Squamous Cell Carcinoma Tumorigenesis Using WCGNA - Nanzheng Chen, Guangjian Zhang, Junke Fu, Qifei Wu, 2020

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Weighted correlation network and differential expression analyses identify candidate genes associated with BRAF gene in melanoma, BMC Medical Genetics

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Full article: Identification of key biomarkers of the glomerulus in focal segmental glomerulosclerosis and their relationship with immune cell infiltration based on WGCNA and the LASSO algorithm