scCAN
Single-Cell Clustering using Autoencoder and Network Fusion
A single-cell Clustering method using 'Autoencoder' and Network fusion ('scCAN') 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.
- Version1.0.4
- R version≥ 3.5.0
- LicenseLGPL-2
- LicenseLGPL-2.1
- LicenseLGPL-3
- Needs compilation?No
- Last release04/06/2022
Documentation
Team
Bang Tran
Duc Tran
Show author detailsRolesAuthorHung Nguyen
Show author detailsRolesAuthorTin Nguyen
Show author detailsRolesfnd
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- Depends4 packages
- Imports1 package
- Suggests1 package