Abstract: Aiming at the problem of low accuracy of the cell classification of single cell transcriptome data, we proposed a novel cell ensemble classification algorithm. The algorithm could make full use of advantages of different classification models and reduce the classification error of single cell data. The experimental results on a chronic myeloid leukemia data and a triple-negative breast cancer data show that the cell classification based on the ensemble algorithm is more clear and accurate, which verifies the effectiveness of the proposed algorithm.

Key words: single cell transcriptome, ensemble classification model, k-nearest neighbor algorithm, support vector machine