ScMLC: an accurate and robust multiplex community detection method for single-cell multi-omics data.

ABSTRACT: Clustering cells based on single-cell multi-modal sequencing technologies provides an unprecedented opportunity to create high-resolution cell atlas, reveal cellular critical states and study health and diseases. However, effectively integrating different sequencing data for cell clustering remains a challenging task. Motivated by the successful application of Louvain in scRNA-seq data, we propose a single-cell multi-modal Louvain clustering framework, called scMLC, to tackle this problem. scMLC builds multiplex single- and cross-modal cell-to-cell networks to capture modal-specific and consistent information between modalities and then adopts a robust multiplex community detection method to obtain the reliable cell clusters. In comparison with 15 state-of-the-art clustering methods on sev

SUBMITTER: Chen Y 

PROVIDER: S-EPMC10944569 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature