scCAN
Single-Cell Clustering using Autoencoder and Network Fusion
A single-cell Clustering method using 'Autoencoder' and Network fusion ('scCAN') Bang Tran (2022) doi:10.1038/s41598-022-14218-6 for segregating the cells from the high-dimensional 'scRNA-Seq' data. The software automatically determines the optimal number of clusters and then partitions the cells in a way such that the results are robust to noise and dropouts. 'scCAN' is fast and it supports Windows, Linux, and Mac OS.
- Version1.0.5
- R versionunknown
- LicenseLGPL-2
- LicenseLGPL-2.1
- LicenseLGPL-3
- Needs compilation?No
- Last release06/13/2024
Documentation
Team
Bang Tran
Hung Nguyen
Show author detailsRolesAuthorDuc Tran
Show author detailsRolesAuthorTin Nguyen
Show author detailsRolesfnd
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends3 packages
- Suggests2 packages