cole-trapnell-lab/garnett: Automated cell type classification
Garnett facilitates automated cell type classification from single-cell expression (and other genomic) data. Garnett works by taking single-cell data, along with a cell type definition (marker) file, and training a regression-based classifier. Once a classifier is trained for a tissue/sample type, it can be applied to classify future datasets from similar tissues.
Getting started
Browse package contents
Package details |
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| Author | c( person("Hannah", "Pliner", email = "hpliner@uw.edu", role = c("aut", "cre")), person("Cole", "Trapnell", email = "coletrap@uw.edu", role = c("aut"))) |
| Maintainer | Hannah Pliner <hpliner@uw.edu> |
| License | MIT + file LICENSE |
| Version | 0.1.24 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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