ScPML: pathway-based multi-view learning for cell type annotation from single-cell RNA-seq data.

ABSTRACT: Recent developments in single-cell technology have enabled the exploration of cellular heterogeneity at an unprecedented level, providing invaluable insights into various fields, including medicine and disease research. Cell type annotation is an essential step in its omics research. The mainstream approach is to utilize well-annotated single-cell data to supervised learning for cell type annotation of new singlecell data. However, existing methods lack good generalization and robustness in cell annotation tasks, partially due to difficulties in dealing with technical differences between datasets, as well as not considering the heterogeneous associations of genes in regulatory mechanism levels. Here, we propose the scPML model, which utilizes various gene signaling pathway data to partitio

SUBMITTER: Du ZH 

PROVIDER: S-EPMC10721875 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature