Pca

Computes PCA coordinates, loadings and variance decomposition.

Info

ID: pca
Namespace: dimred

Links

Source

Uses the implementation of scikit-learn [Pedregosa11]

Example commands

You can run the pipeline using nextflow run.

View help

You can use --help as a parameter to get an overview of the possible parameters.

nextflow run openpipelines-bio/openpipeline \
  -r 1.0.2 -latest \
  -main-script target/nextflow/dimred/pca/main.nf \
  --help

Run command

Example of params.yaml

# Arguments
input: # please fill in - example: "input.h5mu"
modality: "rna"
# layer: "foo"
# var_input: "filter_with_hvg"
# output: "$id.$key.output.h5mu"
# output_compression: "gzip"
obsm_output: "X_pca"
varm_output: "pca_loadings"
uns_output: "pca_variance"
# num_components: 25
overwrite: false

# Nextflow input-output arguments
publish_dir: # please fill in - example: "output/"
# param_list: "my_params.yaml"

nextflow run openpipelines-bio/openpipeline \
  -r 1.0.2 -latest \
  -profile docker \
  -main-script target/nextflow/dimred/pca/main.nf \
  -params-file params.yaml

Note

Replace -profile docker with -profile podman or -profile singularity depending on the desired backend.

Argument group

Arguments

Name	Description	Attributes
--input	Input h5mu file	file, required, example: "input.h5mu"
--modality		string, default: "rna"
--layer	Use specified layer for expression values instead of the .X object from the modality.	string
--var_input	Column name in .var matrix that will be used to select which genes to run the PCA on.	string, example: "filter_with_hvg"
--output	Output h5mu file.	file, required, example: "output.h5mu"
--output_compression	The compression format to be used on the output h5mu object.	string, example: "gzip"
--obsm_output	In which .obsm slot to store the resulting embedding.	string, default: "X_pca"
--varm_output	In which .varm slot to store the resulting loadings matrix.	string, default: "pca_loadings"
--uns_output	In which .uns slot to store the resulting variance objects.	string, default: "pca_variance"
--num_components	Number of principal components to compute. Defaults to 50, or 1 - minimum dimension size of selected representation.	integer, example: 25
--overwrite	Allow overwriting .obsm, .varm and .uns slots.	boolean_true

Authors

• Dries De Maeyer (maintainer)