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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.3 |
rolling linux/jammy R-4.5 | scAnnotate_0.3.tar.gz |
828.8 KiB |
0.3 |
rolling linux/noble R-4.5 | scAnnotate_0.3.tar.gz |
828.6 KiB |
0.3 |
rolling source/ R- | scAnnotate_0.3.tar.gz |
321.5 KiB |
0.3 |
latest linux/jammy R-4.5 | scAnnotate_0.3.tar.gz |
828.8 KiB |
0.3 |
latest linux/noble R-4.5 | scAnnotate_0.3.tar.gz |
828.6 KiB |
0.3 |
latest source/ R- | scAnnotate_0.3.tar.gz |
321.5 KiB |
0.3 |
2026-04-26 source/ R- | scAnnotate_0.3.tar.gz |
321.5 KiB |
0.3 |
2026-04-23 source/ R- | scAnnotate_0.3.tar.gz |
321.5 KiB |
0.3 |
2026-04-09 windows/windows R-4.5 | scAnnotate_0.3.zip |
834.0 KiB |
0.3 |
2025-04-20 source/ R- | scAnnotate_0.3.tar.gz |
321.5 KiB |