Genome Biol 2021 09 9;22(1):264. Epub 2021 Sep 9.
Department of Computer Science, Emory University, 400 Dowman Drive, Atlanta, GA, 30322, USA.
Background: Cell type identification is one of the most important questions in single-cell RNA sequencing (scRNA-seq) data analysis. With the accumulation of public scRNA-seq data, supervised cell type identification methods have gained increasing popularity due to better accuracy, robustness, and computational performance. Despite all the advantages, the performance of the supervised methods relies heavily on several key factors: feature selection, prediction method, and, most importantly, choice of the reference dataset. Read More