garnett-package: garnett
In cole-trapnell-lab/garnett: Automated cell type classification
garnett-package R Documentation
garnett
Description
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.
cole-trapnell-lab/garnett documentation built on Jan. 6, 2025, 2:18 p.m.
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| garnett-package | R Documentation |
garnett
Description
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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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