CHARTS: a web application for characterizing and comparing tumor subpopulations in publicly available single-cell RNA-seq data sets
Abstract Background Single-cell RNA-seq (scRNA-seq) enables the profiling of genome-wide gene expression at the single-cell level and in so doing facilitates insight into and information about cellular heterogeneity within a tissue. This is especially important in cancer, where tumor and tumor micro...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2021-02-01
|
| Series: | BMC Bioinformatics |
| Online Access: | https://doi.org/10.1186/s12859-021-04021-x |