DIscBIO1.2.2 package

A User-Friendly Pipeline for Biomarker Discovery in Single-Cell Transcriptomics

as.DISCBIO

Convert Single Cell Data Objects to DISCBIO.

check.format

Check format

ClassVectoringDT

Generating a class vector to be used for the decision tree analysis.

ClustDiffGenes

ClustDiffGenes

Clustexp

Clustering of single-cell transcriptome data

clustheatmap

Plotting clusters in a heatmap representation of the cell distances

comptSNE

Computing tSNE

customConvertFeats

Automatic Feature Id Conversion.

DEGanalysis

Determining differentially expressed genes (DEGs) between all individu...

DEGanalysis2clust

Determining differentially expressed genes (DEGs) between two particul...

DISCBIO

The DISCBIO Class

DISCBIO2SingleCellExperiment

Convert a DISCBIO object to a SingleCellExperiment.

Exprmclust

Performing Model-based clustering on expression values

FinalPreprocessing

Final Preprocessing

FindOutliers

Inference of outlier cells

foldchange.seq.twoclass.unpaired

Foldchange of twoclass unpaired sequencing data

J48DT

J48 Decision Tree

J48DTeval

Evaluating the performance of the J48 decision tree.

Jaccard

Jaccard’s similarity

KmeanOrder

Pseudo-time ordering based on k-means clusters

NetAnalysis

Networking analysis.

Networking

Plotting the network.

NoiseFiltering

Noise Filtering

Normalizedata

Normalizing and filtering

PCAplotSymbols

Plot PCA symbols

plotExptSNE

Highlighting gene expression in the t-SNE map

plotGap

Plotting Gap Statistics

plotLabelstSNE

tSNE map with labels

PlotMBpca

Plotting pseudo-time ordering or gene expression in Model-based cluste...

PlotmclustMB

Plotting the Model-based clusters in PCA.

plotOrderTsne

Plotting the pseudo-time ordering in the t-SNE map

plotSilhouette

Silhouette Plot for K-means clustering

plotSymbolstSNE

tSNE map for K-means clustering with symbols

plottSNE

tSNE map

PPI

Defining protein-protein interactions (PPI) over a list of genes,

prepExampleDataset

Prepare Example Dataset

pseudoTimeOrdering

Pseudo-time ordering

rankcols

Rank columns

reformatSiggenes

Reformat Siggenes Table

replaceDecimals

Replace Decimals

resa

Resampling

retrieveURL

Retries a URL

RpartDT

RPART Decision Tree

RpartEVAL

Evaluating the performance of the RPART Decision Tree.

sammy

Significance analysis of microarrays

samr.estimate.depth

Estimate sequencing depths

VolcanoPlot

Volcano Plot

wilcoxon.unpaired.seq.func

Twoclass Wilcoxon statistics

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) <doi:10.3390/ijms22031399>. This package implements extensions of the work published by Ghannoum et. al. (2019) <doi:10.1101/700989>.

  • Maintainer: Waldir Leoncio
  • License: MIT + file LICENSE
  • Last published: 2023-11-06