ScMultiNODE: Integrative and Scalable Framework for Multi-Modal Temporal Single-Cell Data.

ABSTRACT: Measuring single-cell genomic profiles at different timepoints enables our understanding of cell development. This understanding is more comprehensive when we perform an integrative analysis of multiple measurements (or modalities) across various developmental stages. However, obtaining such measurements from the same set of single cells is resource-intensive, restricting our ability to study them jointly. We introduce scMultiNODE, an unsupervised integration model that combines gene expression and chromatin accessibility measurements in developing single cells, while preserving cell type variations and cellular dynamics. First, scMultiNODE uses a scalable, Quantized Gromov-Wasserstein optimal transport to align a large number of cells across different measurements. Next, it utilizes neura

SUBMITTER: Zhang J 

PROVIDER: S-EPMC11565911 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature