MapTo | R Documentation |
This function is a wrapper for Seurat's TransferData, IntegrateEmbeddings, and ProjectUMAP functions, meant to be run after OptiK, as part of the Denoise/OptiK/MapTo pipeline.
MapTo( ref, query, lab = "seurat_clusters", k = "opti", get.anchors = T, dims = 30 )
ref |
Reference Seurat object |
query |
Wuery Seurat object |
lab |
The reference label to treat as clusters. Default is "seurat_clusters" |
k |
The k-weight to use when weighting anchors. Default is opti |
get.anchors |
A logical that when true will first run Seurat's FindTransferAnchors. Default is TRUE. |
dims |
Number of PCs to use when get.anchors = T. Default is 30 |
Returns a Seurat object with a new slot where the k-weight is stored: misc$CellTools$opti_k
Rheaume, B. A., & Trakhtenberg, E. F. (2022). Self-learning algorithm for denoising and advancing the integration of scRNA-seq datasets improves the identification of resilient and susceptible retinal ganglion cell types bioRxiv.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.