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

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. This package implements extensions of the work published by Ghannoum et. al. (2019) .


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install.packages("DIscBIO")

1.0.0 by Waldir Leoncio, 25 days ago


https://github.com/ocbe-uio/DIscBIO#usage


Report a bug at https://github.com/ocbe-uio/DIscBIO/issues


Browse source code at https://github.com/cran/DIscBIO


Authors: Salim Ghannoum [aut, cph] , Alvaro Köhn-Luque [aut, ths] , Waldir Leoncio [cre, aut] , Damiano Fantini [ctb]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports methods, TSCAN, boot, httr, mclust, statmod, igraph, RWeka, philentropy, NetIndices, png, grDevices, readr, RColorBrewer, ggplot2, rpart, fpc, cluster, rpart.plot, tsne, AnnotationDbi, org.Hs.eg.db, graphics, stats, utils, impute

Depends on SingleCellExperiment

Suggests testthat, Seurat


See at CRAN