Mapping cells through time and space with moscot
Helmholtz Zentrum München · Technical University of Munich · +7 more institutions
Abstract
Abstract Single-cell genomic technologies enable the multimodal profiling of millions of cells across temporal and spatial dimensions. However, experimental limitations hinder the comprehensive measurement of cells under native temporal dynamics and in their native spatial tissue niche. Optimal transport has emerged as a powerful tool to address these constraints and has facilitated the recovery of the original cellular context 1–4 . Yet, most optimal transport applications are unable to incorporate multimodal information or scale to single-cell atlases. Here we introduce multi-omics single-cell optimal transport (moscot), a scalable framework for optimal transport in single-cell genomics that supports…
Citation impact
- FWCI
- 67.17
- Percentile
- 100%
- References
- 150
Authors
20Topics & keywords
- Computational biology
- Chromatin
- Biology
- Computer science
- Transcriptome
- Induced pluripotent stem cell
- Embryonic stem cell
- Gene expression
Funding
- JHJoachim Herz Stiftung
- ECEuropean CommissionAwards: 101040660, 101054957
- BFBundesministerium für Bildung und ForschungAwards: 031A537C, 031A533A, 031A535A, 031A537A, 031A538A, 031A537D, 031A534A, 031A532B, 031A533B, 031A537B
- HUHebrew University of Jerusalem
- AFAzrieli Foundation
- CFCouncil for Higher Education
- GNGerman Network for Bioinformatics InfrastructureAwards: 031A533A, 031A534A, 031A538A, 031A537D, 031A537A, 031A535A, 031A532B, 031A537B, 031A533B, 031A537C
- HZHelmholtz Zentrum München