ISMNN: batch effect correction for single-cell RNA-seq data via iterative supervised mutual nearest neighbor refinement

ABSTRACT: In the current study, we present iSMNN, a supervised batch effect correction method for scRNA-seq data via multiple iterations of mutual nearest neighbor refinement. To validate the performance of iSMNN, we performed single-cell RNA-seq for adult murine heart using 10X Chromium platform.

ORGANISM(S): Mus musculus

PROVIDER: GSE161138 | GEO | 2021/04/14

REPOSITORIES: GEO