Dynamic Synthesis of Multi-Modal Representations for CITE-seq Data Integration and Analysis.

ABSTRACT: Single-cell multi-omics technologies are pivotal for deciphering the complexities of biological systems, with Cellular Indexing of Transcriptomes and Epitopes by Sequencing (CITE-seq) emerging as a particularly valuable approach. The dual-modality capability makes CITE-seq particularly advantageous for dissecting cellular heterogeneity and understanding the dynamic interplay between transcriptomic and proteomic landscapes. However, existing computational models for integrating these two modalities often struggle to capture the complex, non-linear interactions between RNA and antibody-derived tags (ADTs), and are computationally intensive. To address these issues, scMHVA, a novel and lightweight framework designed to integrate the diverse modalities of CITE-seq data, is proposed. scMHVA uti

SUBMITTER: Shi Y 

PROVIDER: S-EPMC12667526 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature