Guiding the Integration of Multiple Single-Cell RNA-Seq Datasets
Input and Split SingleCellExperiment Data
Normalized RNA data matrix
Permutation Test
Find cells indicating shared biological features across conditions
Find the nearest neighbors
Find the nearest neighbors
Plot SCIntRuler
Calculate SCIntRuler
Cross-Distance Matrix Calculation
Get broad and fine clusters
SCIntRuler: Integration of Single-Cell RNA-seq Datasets
Get maximum number of broad clusters
The accumulation of single-cell RNA-seq ('scRNA-seq') studies highlights the potential benefits of integrating multiple datasets. By augmenting sample sizes and enhancing analytical robustness, integration can lead to more insightful biological conclusions. However, challenges arise due to the inherent diversity and batch discrepancies within and across studies. 'SCIntRuler', a novel R package, addresses these challenges by guiding the integration of multiple 'scRNA-seq' datasets.
Useful links