STutility-package: STutility: Analysis and visualization of Spatial...
In jbergenstrahle/STUtility: Analysis and visualization of Spatial Transcriptomics data
STutility-package R Documentation
STutility: Analysis and visualization of Spatial Transcriptomics data
Description
STutility collects useful tools for Spatial Transcriptomics data analysis within R. The package is built on top of popular Seurat R package, which is a toolkit for analysis and exploration of single cell RNA sequencing data (scRNAseq). STutility adds image functionallity to the Seurat workflow, allowing RNAseq data to be put in a spatial tissue context. Tutorials for data transformation, QC, analysis and visualization can be found on our website: https://ludvigla.github.io/STUtility_web_site/.
STutility collects useful tools for Spatial Transcriptomics data analysis within R. The package is built on top of popular Seurat R package, which is a toolkit for analysis and exploration of single cell RNA sequencing data (scRNAseq). STutility adds image functionallity to the Seurat workflow, allowing RNAseq data to be put in a spatial tissue context. Tutorials for data transformation, QC, analysis and visualization can be found on our website: https://ludvigla.github.io/STUtility_web_site/.
STutility collects useful tools for Spatial Transcriptomics data analysis within R. The package is built on top of popular Seurat R package, which is a toolkit for analysis and exploration of single cell RNA sequencing data (scRNAseq). STutility adds image functionallity to the Seurat workflow, allowing RNAseq data to be put in a spatial tissue context. Tutorials for data transformation, QC, analysis and visualization can be found on our website: https://ludvigla.github.io/STUtility_web_site/.
STutility collects useful tools for Spatial Transcriptomics data analysis within R. The package is built on top of popular Seurat R package, which is a toolkit for analysis and exploration of single cell RNA sequencing data (scRNAseq). STutility adds image functionallity to the Seurat workflow, allowing RNAseq data to be put in a spatial tissue context. Tutorials for data transformation, QC, analysis and visualization can be found on our website: https://ludvigla.github.io/STUtility_web_site/.
Author(s)
Maintainer: Ludvig Larsson ludvig.larsson@scilifelab.se
Authors:
Joseph Bergenstraahle
Maintainer: Ludvig Larsson ludvig.larsson@scilifelab.se
Authors:
Joseph Bergenstraahle
Maintainer: Ludvig Larsson ludvig.larsson@scilifelab.se
Authors:
Joseph Bergenstraahle
Maintainer: Ludvig Larsson ludvig.larsson@scilifelab.se
Authors:
Joseph Bergenstraahle
jbergenstrahle/STUtility documentation built on March 14, 2023, 7:15 a.m.
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| STutility-package | R Documentation |
STutility: Analysis and visualization of Spatial Transcriptomics data
Description
STutility collects useful tools for Spatial Transcriptomics data analysis within R. The package is built on top of popular Seurat R package, which is a toolkit for analysis and exploration of single cell RNA sequencing data (scRNAseq). STutility adds image functionallity to the Seurat workflow, allowing RNAseq data to be put in a spatial tissue context. Tutorials for data transformation, QC, analysis and visualization can be found on our website: https://ludvigla.github.io/STUtility_web_site/.
STutility collects useful tools for Spatial Transcriptomics data analysis within R. The package is built on top of popular Seurat R package, which is a toolkit for analysis and exploration of single cell RNA sequencing data (scRNAseq). STutility adds image functionallity to the Seurat workflow, allowing RNAseq data to be put in a spatial tissue context. Tutorials for data transformation, QC, analysis and visualization can be found on our website: https://ludvigla.github.io/STUtility_web_site/.
STutility collects useful tools for Spatial Transcriptomics data analysis within R. The package is built on top of popular Seurat R package, which is a toolkit for analysis and exploration of single cell RNA sequencing data (scRNAseq). STutility adds image functionallity to the Seurat workflow, allowing RNAseq data to be put in a spatial tissue context. Tutorials for data transformation, QC, analysis and visualization can be found on our website: https://ludvigla.github.io/STUtility_web_site/.
STutility collects useful tools for Spatial Transcriptomics data analysis within R. The package is built on top of popular Seurat R package, which is a toolkit for analysis and exploration of single cell RNA sequencing data (scRNAseq). STutility adds image functionallity to the Seurat workflow, allowing RNAseq data to be put in a spatial tissue context. Tutorials for data transformation, QC, analysis and visualization can be found on our website: https://ludvigla.github.io/STUtility_web_site/.
Author(s)
Maintainer: Ludvig Larsson ludvig.larsson@scilifelab.se
Authors:
Joseph Bergenstraahle
Maintainer: Ludvig Larsson ludvig.larsson@scilifelab.se
Authors:
Joseph Bergenstraahle
Maintainer: Ludvig Larsson ludvig.larsson@scilifelab.se
Authors:
Joseph Bergenstraahle
Maintainer: Ludvig Larsson ludvig.larsson@scilifelab.se
Authors:
Joseph Bergenstraahle
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