--- title: "Introduction to scAnnotatR.models" author: "Johannes Griss" date: "`r Sys.Date()`" output: rmarkdown::html_vignette vignette: > %\VignetteIndexEntry{1. Introduction to scAnnotatR} %\VignetteEngine{knitr::rmarkdown} \usepackage[utf8]{inputenc} --- ```{r setup, include = FALSE} knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) options(rmarkdown.html_vignette.check_title = FALSE) ``` ## Introduction The **scAnnotatR.models** packages contains a set of pre-trained models to classify various (immune) cell types in human data to be used by the `scAnnotatR` package. `scAnnotatR` is an R package for cell type prediction on single cell RNA-sequencing data. Currently, this package supports data in the forms of a `Seurat` object or a `SingleCellExperiment` object. If you are interested in directly applying these models to your data, please refer to the vignettes of the `scAnnotatR` package. ## Installation The `scAnnotatR.models` package is a `AnnotationHub` package. Normally, it is automatically loaded by the `scAnnotatR` package. To load the package manually into your R session, please use the Bioconductor `AnnotationHub` package: ```{r} # use the AnnotationHub to load the scAnnotatR.models package eh <- AnnotationHub::AnnotationHub() # load the stored models query <- AnnotationHub::query(eh, "scAnnotatR.models") models <- query[["AH95906"]] ``` ## Data Structure The `models` object is a named list containing the cell type's name as key and the respective classifier as value: ```{r} # print the available cell types names(models) ``` Each classifier is an instance of the `scAnnotatR S4 class`. For example: ```{r} models[['B cells']] ``` ## Included models The `scAnnotatR` package comes with several pre-trained models to classify cell types. ```{r} # Load the scAnnotatR package to view the models library(scAnnotatR) ``` The models are stored in the `default_models` object: ```{r} default_models <- load_models("default") names(default_models) ``` The `default_models` object is named a list of classifiers. Each classifier is an instance of the `scAnnotatR S4 class`. For example: ```{r} default_models[['B cells']] ``` Please refer to the `scAnnotatR` package documentation for detailed information about how to use these classifiers. ## Session Info ```{r} sessionInfo() ```