[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

tutorial-registry/tutorials/CITEseq-integration/meta.yaml

@@ -1,7 +1,7 @@
 name: CITE-seq integration
 description: |
-    These notebooks showcase CITE-seq analysis of PBMCs with dsb 
-    normalization, MOFA+ data integration, and weighted nearest neighbors 
+    These notebooks showcase CITE-seq analysis of PBMCs with dsb
+    normalization, MOFA+ data integration, and weighted nearest neighbors
     handling multimodal embeddings.
 link: https://muon-tutorials.readthedocs.io/en/latest/cite-seq/1-CITE-seq-PBMC-5k.html
 image: icon.png

tutorial-registry/tutorials/Joint-analysis-of-multiomic-data-with-MultiVI/meta.yaml

@@ -1,7 +1,7 @@
 name: Joint analysis of paired and unpaired multiomic data with MultiVI
 description: |
-    This tutorial shows how to read multiomic data, create a joint object with 
-    paired/unpaired data, train MultiVI model, visualize latent space, 
+    This tutorial shows how to read multiomic data, create a joint object with
+    paired/unpaired data, train MultiVI model, visualize latent space,
     and run differential analyses.
 link: https://docs.scvi-tools.org/en/stable/tutorials/notebooks/MultiVI_tutorial.html
 image: icon.png

tutorial-registry/tutorials/anndata-getting-started/meta.yaml

@@ -1,6 +1,6 @@
 name: Getting started with AnnData
 description: |
-    Tutorial helps you to explore the structure and content of single-cell 
+    Tutorial helps you to explore the structure and content of single-cell
     data analysis results in a *.h5ad file using AnnData, Scanpy, and Python.
 link: https://scverse-tutorials.readthedocs.io/en/latest/notebooks/anndata_getting_started.html
 image: icon.svg

tutorial-registry/tutorials/anndata-mudata-axes/meta.yaml

@@ -1,7 +1,7 @@
 name: Axes in AnnData and MuData
 description: |
-    In this tutorial we showcase operations on independent AnnData objects 
-    (scRNAseq matrix + metadata), demonstrating how varied processing 
+    In this tutorial we showcase operations on independent AnnData objects
+    (scRNAseq matrix + metadata), demonstrating how varied processing
     workflows can be stored in one MuData object.
 link: https://scverse-tutorials.readthedocs.io/en/latest/notebooks/tutorial_axes_anndata_mudata.html
 primary_category: Data structures

tutorial-registry/tutorials/compositional-analysis/meta.yaml

@@ -1,7 +1,7 @@
 name: Compositional analysis
 description: |
-    This tutorial introduces compositional analysis at cell identity 
-    cluster level, based on known cell types or states affected by 
+    This tutorial introduces compositional analysis at cell identity
+    cluster level, based on known cell types or states affected by
     perturbations using Haber dataset.
 link: https://www.sc-best-practices.org/conditions/compositional.html
 image: icon.png

tutorial-registry/tutorials/decoupler-pseudobulk-de/meta.yaml

@@ -1,7 +1,7 @@
 name: Pseudo-bulk differential expression and functional analysis
 description: |
-    This notebook showcases decoupler for pathway and TF enrichment on ~5k 
-    Blood myeloid cells from healthy and COVID-19 infected patients in the 
+    This notebook showcases decoupler for pathway and TF enrichment on ~5k
+    Blood myeloid cells from healthy and COVID-19 infected patients in the
     Single Cell Expression Atlas.
 link: https://decoupler-py.readthedocs.io/en/latest/notebooks/pseudobulk.html
 image: icon.png

tutorial-registry/tutorials/perturbation-modeling/meta.yaml

@@ -1,7 +1,7 @@
 name: Perturbation modeling
 description: |
     This tutorial covers 3 approaches using single-cell perturbation data:
-    Augur - identify affected cell types 
+    Augur - identify affected cell types
     scGen - predict transcriptional response
     Mixscape - quantify CRISPR sensitivity.
 link: https://www.sc-best-practices.org/conditions/perturbation_modeling.html