Comprehensive Integration of Single-Cell Data
Single-cell transcriptomics has transformed our ability to characterize cell states, but deep biological understanding requires more than a taxonomic listing of clusters. As new...
Publications
3 shownIntegrated analysis of multimodal single-cell data
ezSingleCell is an interactive and easy-to-use application for the analysis of multiple single-cell and spatial omics data types for biologists. It combines the best-performing ...
Integrating single-cell transcriptomic data across different conditions, technologies, and species
Computational single-cell RNA-seq (scRNA-seq) methods have been successfully applied to experiments representing a single condition, technology, or species to discover and defin...
Frequent Co-Authors
Researcher Info
- h-index
- 3
- Publications
- 3
- Citations
- 43,096
- Institution
- New York Genome Center
External Links
Identifiers
- ORCID
- 0000-0003-0772-1647
Impact Metrics
h-index
3
h-index: Number of publications with at least h citations each.