Sampling strategies to capture single-cell heterogeneity.
Where this comes from
- Record sourced from PubMed, PMID 28869755.
- Also identified by DOI 10.1038/nmeth.4427 and PMC identifier 5658002.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
Advances in single-cell technologies have highlighted the prevalence and biological significance of cellular heterogeneity. A critical question researchers face is how to design experiments that faithfully capture the true range of heterogeneity from samples of cellular populations. Here we develop a data-driven approach, illustrated in the context of image data, that estimates the sampling depth required for prospective investigations of single-cell heterogeneity from an existing collection of samples.
Medical subject headings
- Adenocarcinoma
- Carcinoma, Non-Small-Cell Lung
- Lung Neoplasms
- Single-Cell Analysis