Nothing
scAnnotate: An Automated Cell Type Annotation Tool for Single-Cell RNA-Sequencing Data
An entirely data-driven cell type annotation tools, which requires training data to learn the classifier, but not biological knowledge to make subjective decisions. It consists of three steps: preprocessing training and test data, model fitting on training data, and cell classification on test data. See Xiangling Ji,Danielle Tsao, Kailun Bai, Min Tsao, Li Xing, Xuekui Zhang.(2022)<doi:10.1101/2022.02.19.481159> for more details.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Xiangling Ji [aut], Danielle Tsao [aut], Kailun Bai [ctb], Min Tsao [aut], Li Xing [aut], Xuekui Zhang [aut, cre] |
| Maintainer | Xuekui Zhang <xuekui@uvic.ca> |
| License | GPL-3 |
| Version | 0.3 |
| URL | https://doi.org/10.1101/2022.02.19.481159 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the scAnnotate package in your browser
Any scripts or data that you put into this service are public.
