integrate/scanorama
Description
Use Scanorama to integrate different experiments.
Arguments
Name | Type & Properties | Description |
|---|---|---|
--input -i | file required | Input h5mu file |
--modality | string | Which modality from the input MuData file to process. |
--output -o | file required output | Output .h5mu file |
--obs_batch | string | Column name discriminating between your batches. |
--obsm_input | string | Basis obsm slot to run scanorama on. |
--obsm_output | string | The name of the field in adata.obsm where the integrated embeddings will be stored after running this function. Defaults to X_scanorama. |
--knn | integer | Number of nearest neighbors to use for matching. |
--batch_size | integer | The batch size used in the alignment vector computation. Useful when integrating very large (>100k samples) datasets. Set to large value that runs within available memory. |
--sigma | double | Correction smoothing parameter on Gaussian kernel. |
--approx | boolean | Use approximate nearest neighbors with Python annoy; greatly speeds up matching runtime. |
--alpha | double | Alignment score minimum cutoff |
--output_compression | string | Compression format to use for the output AnnData and/or Mudata H5 files. By default no compression is applied. |
Run this component
Run the following command to execute this component with Nextflow:
cat > params.yaml <<'EOM'
modality: [ "rna" ]
output: "$id.$key.output.h5mu"
obs_batch: [ "batch" ]
obsm_input: [ "X_pca" ]
obsm_output: [ "X_scanorama" ]
knn: [ 20 ]
batch_size: [ 5000 ]
sigma: [ 15 ]
approx: [ true ]
alpha: [ 0.1 ]
id: "run"
publish_dir: "output/"
EOM
nextflow run https://packages.viash-hub.com/vsh/openpipeline.git \
-revision v4.2.0 \
-main-script target/nextflow/integrate/scanorama/main.nf \
-params-file params.yaml Relationships
Used by
1 relationships
Current component
integrate/scanoramaopenpipeline v4.2.0
Uses
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No component dependencies found.