Cell type labeling
Evaluation of 26 cell annotation algorithms for single cell RNA sequencing data
Identifying the population of cells in the tumor microenvironment is the first step to study a single cell RNA sequencing (scRNA-seq) dataset. In this project, we reviewed and evaluated 26 (19 supervised and 7 unsupervised) state-of-the-art algorithms for annotating the scRNA-seq data.
The performance of the 26 algorithms are sumarrized in the following two figures. Details of our analysis can be found in our paper published in Briefings in Bioinformatics.
Performance and running time summary of cell type prediction methods across eight cancer datasets.
Performance of the 26 algorithms.