Analyze commands¶
All analysis commands use a trained HIDE-deconv project.
PCA, UMAP and PLS-DA¶
hide-deconv analyze pca --path <project_dir>
hide-deconv analyze umap --path <project_dir>
hide-deconv analyze plsda --path <project_dir>
Existing composition datasets can be projected into the fitted analysis:
hide-deconv analyze pca \
--path <project_dir> \
--map-others <composition_1.csv> \
--map-others <composition_2.csv>
The mapped CSV files must use the same cell type labels as the selected composition. They are transformed after fitting and do not influence the calculated components.
Cohort differences¶
hide-deconv analyze diff --path <project_dir>
hide-deconv analyze hdiff --path <project_dir>
Other analyses¶
hide-deconv analyze benchmark --path <project_dir>
hide-deconv analyze cluster --path <project_dir>
hide-deconv analyze survival --path <project_dir>