TransferData: Transfer Labels

In atakanekiz/Seurat3.0: Tools for Single Cell Genomics

Description

Transfers the labels

Usage

TransferData(anchorset, refdata, reduction = "pcaproject",
  l2.norm = FALSE, dims = 1:30, k.weight = 50, sd.weight = 1,
  eps = 0, do.cpp = TRUE, verbose = TRUE, slot = "data")

Arguments

anchorset	Results from FindTransferAnchors
refdata	Data to transfer. Should be either a vector where the names correspond to reference cells, or a matrix, where the column names correspond to the reference cells.
reduction	Dimensional reduction to use for the weighting. Options are: pcaproject: Use the projected PCA used for anchor building pca: Use an internal PCA on the query only cca: Use the CCA used for anchor building
l2.norm	Perform L2 normalization on the cell embeddings after dimensional reduction
dims	Number of PCs to use in the weighting procedure
k.weight	Number of neighbors to consider when weighting
sd.weight	Controls the bandwidth of the Gaussian kernel for weighting
eps	Error bound on the neighbor finding algorithm (from RANN)
do.cpp	Run cpp code where applicable
verbose	Print progress bars and output
slot	Slot to store the imputed data

Value

If refdata is a vector, returns a dataframe with label predictions. If refdata is a matrix, returns an Assay object where the imputed data has been stored in the provided slot.

atakanekiz/Seurat3.0 documentation built on May 26, 2019, 2:33 a.m.