Automated cell type annotation tool for scRNA-seq datasets on the basis of logistic regression classifiers optimised by the stochastic gradient descent algorithm.

Combines cell type predictions from multiple annotation methods into a single consensus prediction using a weighted majority vote.

OnClass is a python package for single-cell cell type annotation.

Performs popular major vote cell typing on single cell sequence data using multiple algorithms.

Automated cell type annotation tool for scRNA-seq datasets on the basis of random forest.

scANVI () is a semi-supervised model for single-cell transcriptomics data.

SingleR performs reference-based cell type annotation for single-cell RNA-seq data
by computing Spearman correlations between test cells and reference samples with known labels,
using marker genes to assign the most similar cell type label to each new cell.

Automated cell type annotation tool for scRNA-seq datasets on the basis of SVMs.

Cluster cells using the [Leiden algorithm] [Traag18] implemented in the [Scanpy framework] [Wolf18].

Compress a MuData file.