projectNewData: Project new data onto training principal components

In IMB-Computational-Genomics-Lab/scPred: scPred - Single cell prediction using singular value decomposition and machine learning classification

Description

Projects a new dataset into the principal components obtained from a training dataset

Usage

projectNewData(object, newData, informative = TRUE, seurat = FALSE,
  returnLoadings = FALSE)

Arguments

object	An scPred object
newData	A matrix object with genes as rows and cells as columns
informative	Perfoms rotation using only informative principal components
seurat	Performs Seurat scaling?

Value

A data frame with the projection

Author(s)

Jos<c3><a9> Alquicira Hern<c3><a1>ndez

Examples

# Prjects training discriminant principal axes onto test dataset. 
## By setting "informative = FALSE", all principal components
## (including non-informative) are projected.

projection <- projectNewData(object, expTest, informative = FALSE)

IMB-Computational-Genomics-Lab/scPred documentation built on Jan. 11, 2020, 7:37 a.m.