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DIscBIO  

A User-Friendly Pipeline for Biomarker Discovery in Single-Cell Transcriptomics
View on CRAN: Click here


Download and install DIscBIO package within the R console
Install from CRAN:
install.packages("DIscBIO")

Install from Github:
library("remotes")
install_github("cran/DIscBIO")

Install by package version:
library("remotes")
install_version("DIscBIO", "1.2.3")



Attach the package and use:
library("DIscBIO")
Maintained by
Waldir Leoncio
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-08-26
Latest Update: 2023-11-06
Description:
An open, multi-algorithmic pipeline for easy, fast and efficient analysis of cellular sub-populations and the molecular signatures that characterize them. The pipeline consists of four successive steps: data pre-processing, cellular clustering with pseudo-temporal ordering, defining differential expressed genes and biomarker identification. More details on Ghannoum et. al. (2021) . This package implements extensions of the work published by Ghannoum et. al. (2019) .
How to cite:
Waldir Leoncio (2020). DIscBIO: A User-Friendly Pipeline for Biomarker Discovery in Single-Cell Transcriptomics. R package version 1.2.3, https://cran.r-project.org/web/packages/DIscBIO. Accessed 28 Oct. 2026.
Previous versions and publish date:
1.0.0 (2020-08-26 13:30), 1.0.1 (2020-10-06 14:00), 1.1.0 (2020-11-13 11:20), 1.2.0 (2021-04-28 09:00), 1.2.1 (2023-10-09 15:20), 1.2.2 (2023-11-06 11:50), (2026-07-09 08:01)
Other packages that cited DIscBIO R package
View DIscBIO citation profile
Other R packages that DIscBIO depends, imports, suggests or enhances
Complete documentation for DIscBIO
Functions, R codes and Examples using the DIscBIO R package
Some associated functions: ClassVectoringDT . ClustDiffGenes . Clustexp . DEGanalysis . DEGanalysis2clust . DISCBIO . DISCBIO2SingleCellExperiment . Exprmclust . FinalPreprocessing . FindOutliers . HumanMouseGeneIds . J48DT . J48DTeval . Jaccard . KmeanOrder . NetAnalysis . Networking . NoiseFiltering . Normalizedata . PCAplotSymbols . PPI . PlotMBpca . PlotmclustMB . RpartDT . RpartEVAL . VolcanoPlot . as.DISCBIO . check.format . clustheatmap . comptSNE . customConvertFeats . foldchange.seq.twoclass.unpaired . plotExptSNE . plotGap . plotLabelstSNE . plotOrderTsne . plotSilhouette . plotSymbolstSNE . plottSNE . prepExampleDataset . pseudoTimeOrdering . rankcols . reformatSiggenes . replaceDecimals . resa . retrieveURL . sammy . samr.estimate.depth . valuesG1msTest . wilcoxon.unpaired.seq.func . 
Some associated R codes: DIscBIO-classes.R . DIscBIO-generic-ClassVectoringDT.R . DIscBIO-generic-ClustDiffGenes.R . DIscBIO-generic-Clustexp.R . DIscBIO-generic-DEGanalysis.R . DIscBIO-generic-DEGanalysis2clust.R . DIscBIO-generic-Exprmclust.R . DIscBIO-generic-FinalPreprocessing.R . DIscBIO-generic-FindOutliers.R . DIscBIO-generic-NoiseFiltering.R . DIscBIO-generic-Normalizedata.R . DIscBIO-generic-PCAplotSymbols.R . DIscBIO-generic-PlotmclustMB.R . DIscBIO-generic-clusteringOrder.R . DIscBIO-generic-clustheatmap.R . DIscBIO-generic-comptSNE.R . DIscBIO-generic-plotExptSNE.R . DIscBIO-generic-plotGap.R . DIscBIO-generic-plotLabelstSNE.R . DIscBIO-generic-plotOrderTsne.R . DIscBIO-generic-plotSilhouette.R . DIscBIO-generic-plotSymbolstSNE.R . DIscBIO-generic-plottSNE.R . DIscBIO-generic-pseudoTimeOrdering.R . J48DT.R . J48DTeval.R . Jaccard.R . NetAnalysis.R . Networking.R . PPI.R . PlotMBpca.R . RpartDT.R . RpartEVAL.R . VolcanoPlot.R . customConverters.R . datasets.R . internal-functions-samr-adapted.R . internal-functions.R .  Full DIscBIO package functions and examples
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