| SCIntRuler-package {SCIntRuler} | R Documentation |
SCIntRuler: Integration of Single-Cell RNA-seq Datasets
Description
The SCIntRuler package addresses the challenges of integrating multiple single-cell RNA-seq (scRNA-seq) datasets. It provides tools to enhance analytical robustness by augmenting sample sizes and reducing batch discrepancies. Developed using the Seurat framework, SCIntRuler includes both existing and novel workflows for single-cell analysis.
Value
This is the main page for SCIntRuler package.
Why SCIntRuler? Integrating scRNA-seq datasets can be complex due to various factors such as batch effects and sample diversity. SCIntRuler provides a statistical metric to aid in crucial decisions regarding dataset integration, ensuring more robust and accurate analyses.
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Features
Informed Decision Making: Helps researchers decide on the necessity of data integration and the most suitable method.
Flexibility: Suitable for various scenarios, accommodating different levels of data heterogeneity.
Robustness: Enhances analytical robustness in joint analyses of merged or integrated scRNA-seq datasets.
User-Friendly: Streamlines decision-making processes, simplifying the complexities involved in scRNA-seq data integration.
Getting Started
Refer to the "Getting Started with SCIntRuler" article in the package vignettes for detailed user instructions.
Author(s)
Yue Lyu