Seurat 5.1.0

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Vignettes
- Introductory Vignettes
- PBMC 3K guided tutorial
- Data visualization vignette
- SCTransform, v2 regularization
- Using Seurat with multi-modal data
- Seurat v5 Command Cheat Sheet
- Data Integration
- Introduction to scRNA-seq integration
- Integrative analysis in Seurat v5
- Mapping and annotating query datasets
- Multi-assay data
- Dictionary Learning for cross-modality integration
- Weighted Nearest Neighbor Analysis
- Integrating scRNA-seq and scATAC-seq data
- Multimodal reference mapping
- Mixscape Vignette
- Massively scalable analysis
- Sketch-based analysis in Seurat v5
- Sketch integration using a 1 million cell dataset from Parse Biosciences
- Map COVID PBMC datasets to a healthy reference
- BPCells Interaction
- Spatial analysis
- Analysis of spatial datasets (Imaging-based)
- Analysis of spatial datasets (Sequencing-based)
- Other
- Cell-cycle scoring and regression
- Differential expression testing
- Demultiplexing with hashtag oligos (HTOs)
Extensions
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L2-Normalize CCA

Source: R/dimensional_reduction.R

L2CCA.Rd

Perform l2 normalization on CCs

L2CCA(object, ...)

Arguments

object: Seurat object
...: Additional parameters to L2Dim.

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Developed by Rahul Satija, Satija Lab and Collaborators.

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