Name Mode Size
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caret_model.Rd 100644 1 kb
cell_type-set.Rd 100644 0 kb
cell_type.Rd 100644 1 kb
classify_cells.Rd 100644 3 kb
delete_model.Rd 100644 1 kb
internal.Rd 100644 11 kb
load_models.Rd 100644 0 kb
marker_genes.Rd 100644 1 kb
p_thres-set.Rd 100644 0 kb
p_thres.Rd 100644 1 kb
parent.Rd 100644 1 kb
plant_tree.Rd 100644 1 kb
plot_roc_curve.Rd 100644 1 kb
save_new_model.Rd 100644 2 kb
scAnnotatR.Rd 100644 2 kb
show.Rd 100644 1 kb
test_classifier.Rd 100644 3 kb
tirosh_mel80_example.Rd 100644 0 kb
train_classifier.Rd 100644 5 kb
README.md
# scAnnotatR The `scAnnotatR` package automatically classifies cells in scRNA-seq datasets. It is simple to use with a clear infrastructure to easily add additional cell type classification models. `scAnnotatR` support both `Seurat` and `SingleCellExperiment` objects as input. ## Installation You can install the latest version directly from GitHub using the `devtools` package: ```r # install devtools if needed if (!require(devtools)) { install.packages("devtools") } if (!require(scAnnotatR)) { install_github("grisslab/scAnnotatR") } ``` ## Help The complete usage is shown in the vignettes: * [Basic classification of cells](vignettes/classifying-cells.Rmd) * [Basic training of a new cell classification model](vignettes/training-basic-model.Rmd) * [Training of child-celltype models](vignettes/training-child-model.Rmd) For more questions / feedback please simply post an [Issue](https://github.com/grisslab/scAnnotatR/issues/new).