All functions

addPerROIQC()

Add QC statistics to the Spatial Experiment object

computeClusterEvalStats()

Calculate statistics for evaluating batch correction

drawPCA()

Compute and plot the results of a PCA analysis on gene expression data

findBestK()

Testing multiple K for RUV4 batch correction to find the best K.

findNCGs()

Get negative control genes from each batch of the data

geomxBatchCorrection()

Batch correction for GeoMX data

geomxNorm()

Perform normalization to GeoMX data

plotClusterEvalStats()

Compare and evaluate different batch corrected data with plotting.

plotDR()

Compute and plot the results of any dimension reduction methods on gene expression data

plotGeneQC()

Plot gene-wise QC plot

plotMDS()

Compute and plot the results of a MDS analysis on gene expression data

plotPCAbiplot()

Plot PCA bi plot

plotPairPCA()

Plot pair-wise PCA plots for multiple dimensions

plotRLExpr()

Compute and plot relative log expression (RLE) values of gene expression data

plotROIQC()

Plot Sample-wise QC plot

plotSampleInfo()

Plot the user-defined meta data using alluvium plot

plotScreePCA()

Plot the PCA scree plot.

readGeoMx()

Import GeoMX DSP data into a saptial experiment object from file paths

readGeoMxFromDGE()

Import GeoMX DSP data into a spatial experiment object from DGEList object