Fast model-free standardization and integration of single-cell transcriptomics data.

ABSTRACT: Single-cell transcriptomics datasets from the same anatomical sites generated by different research labs are becoming increasingly common. However, fast and computationally inexpensive tools for standardization of cell-type annotation and data integration are still needed in order to increase research inclusivity. To standardize cell-type annotation and integrate single-cell transcriptomics datasets, we have built a fast model-free integration method, named MASI (Marker-Assisted Standardization and Integration). MASI first identifies putative cell-type markers from reference data through an ensemble approach. Then, it converts gene expression matrix to cell-type score matrix with the identified putative cell-type markers for the purpose of cell-type annotation and data integration. Because

SUBMITTER: Xu Y 

PROVIDER: S-EPMC9901035 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature