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 ...
# packages ‘Gviz’ and ‘chipseq’ library (Gviz) library (chipseq) # Load aligned chipseq reads sample ‘cstest’ to workspace. data(cstest) #use names function to see samples included in ‘cstest’ #two sample in this dataset—‘ctcf’ and ‘gfp’ ...
Principal component analysis (PCA) is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components. The number of principal components is less tha ...