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Identification of potential biomarkers in the peripheral blood of neonates with bronchopulmonary dysplasia using WGCNA and machine learning algorithms

open access: gold
Liyan Luo   +13 more
openalex   +1 more source

WGCNA: an R package for weighted correlation network analysis [PDF]

open access: yesBMC Bioinformatics, 2008
(Uploaded by Plazi for the Bat Literature Project) Correlation networks are increasingly being used in bioinformatics applications. For example, weighted gene co-expression network analysis is a systems biology method for describing the correlation patterns among genes across microarray samples. Weighted correlation network analysis (WGCNA) can be used
Peter Langfelder, Steve Horvath
exaly   +4 more sources
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WGCNA Application to Proteomic and Metabolomic Data Analysis

Methods in Enzymology, 2017
Progresses in mass spectrometric instrumentation and bioinformatics identification algorithms made over the past decades allow quantitative measurements of relative or absolute protein/metabolite amounts in cells in a high-throughput manner, which has significantly expedited the exploration into functions and dynamics of complex biological systems ...
Guangsheng Pei
exaly   +3 more sources

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