Releases: jr-leary7/SCISSORS
Releases · jr-leary7/SCISSORS
v1.2.0
Adds parallelism to PrepareData()
and ReclusterCells()
v1.1.0
Adds support for default Seurat
log-normalization instead of SCTransform, which in turn allows the package to be used with integrated datasets. Be sure to set DefaultAssay(obj) <- "RNA"
after normalization though!
v0.0.3.0
Added functionality to automatically choose which clusters to run SCISSORS on.
SCISSORS v0.0.2.0
This update reflects the improvements made to SCISSORS in the month since the last official release.
SCISSORS
This is the first pre-release of the Yeh Lab's new SCISSORS method for clustering single cells!