scDetect: A rank-based ensemble learning algorithm for cell type identification of single-cell RNA sequencing in cancer

scDetect is a new cell type ensemble learning classification method for single-cell RNA sequencing across different data platforms, using a combination of gene expression rank-based method and majority vote ensemble machine-learning probability-based prediction method.

To further accurate predict the tumor cells in the single cell RNA-seq data, we developed scDetect-Cancer, a classification framework which incorporated the cell copy number information and epithelial origin information in the classification. scDetect is open source and available from Github at https://github.com/IVDgenomicslab/scDetect/.