calculateEvalMetrics: Calculate evaluation metrics on test mixed transcriptional...

In SpatialDDLS: Deconvolution of Spatial Transcriptomics Data Based on Neural Networks

Calculate evaluation metrics on test mixed transcriptional profiles

Description

Calculate evaluation metrics on test mixed transcriptional profiles. By default, absolute error (AbsErr), proportional absolute error (ppAbsErr), squared error (SqrErr), and proportional squared error (ppSqrErr) are calculated for each test mixed profile. In addition, each of these metrics is aggregated according to three criteria: cell type (CellType), probability bins in ranges of 0.1 (pBin), and number of different cell types present in the spot (nCellTypes).

Usage

calculateEvalMetrics(object)

Arguments

object

SpatialDDLS object with a trained model in trained.model slot and the actual cell proportions of test mixed profiles in prob.cell.types slot.

Value

A SpatialDDLS object with is a DeconvDLModel object. The calculated metrics are stored in the test.deconv.metrics slot of the DeconvDLModel object.

See Also

distErrorPlot corrExpPredPlot blandAltmanLehPlot barErrorPlot

SpatialDDLS documentation built on Oct. 31, 2024, 5:07 p.m.