TCM visualizes trajectories and cell populations from single cell data.
Level V
Where this comes from
- Record sourced from PubMed, PMID 30013097.
- Also identified by DOI 10.1038/s41467-018-05112-9 and PMC identifier 6048168.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Profiling single cell gene expression data over specified time periods are increasingly applied to the study of complex developmental processes. Here, we describe a novel prototype-based dimension reduction method to visualize high throughput temporal expression data for single cell analyses. Our software preserves the global developmental trajectories over a specified time course, and it also identifies subpopulations of cells within each time point demonstrating superior visualization performance over six commonly used methods.
Medical subject headings
- Algorithms
- Gene Expression Regulation, Developmental
- Induced Pluripotent Stem Cells
- Myocytes, Cardiac
- Single-Cell Analysis