Package: recall 0.1.0

recall: Calibrated Clustering with Artificial Variables to Avoid Over-Clustering in Single-Cell RNA-Sequencing

recall (Calibrated Clustering with Artificial Variables) is a method for protecting against over-clustering by controlling for the impact of double-dipping. The approach can be applied to any clustering algorithm (implemented are the Louvain and Leiden algorithms with plans for K-means, and hierarchical clustering algorithms). The method provides state-of-the-art clustering performance and can rapidly analyze large-scale scRNA-seq studies and is compatible with the Seurat library (V4 and V5).

Authors:Zaoqu Liu [aut, cre]