CRAN/E | DIscBIO

DIscBIO

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

Installation

About

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.

github.com/ocbe-uio/DIscBIO
Bug report File report

Key Metrics

Version 1.2.2
R ≥ 4.0
Published 2023-11-06 166 days ago
Needs compilation? no
License MIT
License File
CRAN checks DIscBIO results

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Maintainer

Maintainer

Waldir Leoncio

w.l.netto@medisin.uio.no

Authors

Salim Ghannoum

aut / cph

Alvaro Köhn-Luque

aut / ths

Waldir Leoncio

cre / aut

Damiano Fantini

ctb

Material

NEWS
Reference manual
Package source

In Views

Omics

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

DIscBIO archive

Depends

R ≥ 4.0
SingleCellExperiment

Imports

methods
TSCAN
httr
mclust
statmod
igraph
RWeka
vegan
NetIndices
png
grDevices
RColorBrewer
ggplot2
rpart
fpc
cluster
rpart.plot
tsne
AnnotationDbi
org.Hs.eg.db
graphics
stats
utils
impute
withr

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