This is the user manual for GO-PCA, a free and open-source Python implementation of the eponymous method for exploring gene expression data using prior knowledge.
gopca_extract_go_gene_sets.py
go-pca.py
gopca_print_info.py
gopca_extract_signature_matrix.py
gopca_plot_signature_matrix.py
gopca_extract_signatures.py
gopca_extract_signatures_excel.py
Note
This manual uses “GO-PCA”, in italics, to specifically reference the general methodology described in Wagner (2015). In all other cases, “GO-PCA” is meant to reference the Python software documented here.