Man pages for tomashhurst/Spectre
A Toolbox for the Analysis of High-Dimensional Cytometry and Single-Cell Data

demo.asinhdemo.asinh - Demo dataset with asinh transformed values
demo.clustereddemo.clustered - Demo data.table with cells (rows) x markers...
demo.expdemo.exp - Demo marker expression table with markers...
demo.startdemo.start - Starting demo dataset.
demo.sumdemo.sum - Demo summary dataset with features/measurments...
do.add.colsdo.add.cols
do.aggregateAggregate data using data.table functions - summarises the...
do.aligndo.align - Function to align multiple batches of a dataset.
do.asinhdo.asinh - Transform data in selected columns using ArcSinH
do.embed.columnsdo.embed.columns
do.list.summarySummarise the column names and row numbers for elements of a...
do.list.switchList switch or inversion
do.merge.filesdo.merge.files - Function to merge a list of data.tables (one...
do.noise.reduceReduce noise by change values below a specified threshold to...
do.normalisedo.normalise - Normalise data in selected columns between two...
do.prep.fsomdo.prep.fsom - Function to prepare a FlowSOM (fsom) object...
do.statsStatistical analysis
do.subsampleSubsample data
do.zscoredo.zscore - Calculate z.score for a dataset
make.autographmake.autograph - Creates plots using ggplot2
make.colour.plotCreate a dot plot (X vs Y) coloured by a selected continuous...
make.multi.plotMake multiple plots for multiple columns and/or multiple...
make.network.plotDraw network diagram
make.pheatmapmake.pheatmap - Create a 'pretty' heatmap (pheatmap)
make.volcano.plotMake an enhanced volcano plot
package.checkpackage.check - a function to check the installation of all...
package.installpackage.install - a function to install packages required for...
package.loadpackage.load - a function to load (library) all required...
read.filesread.files - Function to read data from CSV or FCS files into...
run.chronoclustRun the ChronoClust algorithm
run.flowsomRun the FlowSOM algorithm
run.knn.classifierrun.knn.classifier - Run KNN classifier
run.pcaRun the PCA algorithm (using stats::prcomp)
run.prepare.chronoclustrun.prepare.chronoclust
run.train.knn.classifierrun.train.knn.classifier - Train KNN classifier
run.tsneRun the tSNE algorithm (using Rtsne::Rtsne())
run.umapRun the UMAP algorithm (using umap::umap())
write.fileswrite.files - Write .csv or .fcs files
write.sumtableswrite.sumtables - Export generated data as a .csv file
tomashhurst/Spectre documentation built on Dec. 23, 2021, 11:55 a.m.