This is the development version of scAnnotatR; for the stable release version, see scAnnotatR.
Pretrained learning models for cell type prediction on single cell RNA-sequencing dataBioconductor version: Development (3.22)
The package comprises a set of pretrained machine learning models to predict basic immune cell types. This enables all users to quickly get a first annotation of the cell types present in their dataset without requiring prior knowledge. scAnnotatR also allows users to train their own models to predict new cell types based on specific research needs.
Author: Vy Nguyen [aut] ORCID: 0000-0003-3436-3662 , Johannes Griss [cre] ORCID: 0000-0003-2206-9511
Maintainer: Johannes Griss <johannes.griss at meduniwien.ac.at>
Citation (from within R, entercitation("scAnnotatR")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("scAnnotatR")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("scAnnotatR")Follow Installation instructions to use this package in your R session.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4