CRAN/E | Patterns

Patterns

Deciphering Biological Networks with Patterned Heterogeneous Measurements

Installation

About

A modeling tool dedicated to biological network modeling (Bertrand and others 2020, doi:10.1093/bioinformatics/btaa855). It allows for single or joint modeling of, for instance, genes and proteins. It starts with the selection of the actors that will be the used in the reverse engineering upcoming step. An actor can be included in that selection based on its differential measurement (for instance gene expression or protein abundance) or on its time course profile. Wrappers for actors clustering functions and cluster analysis are provided. It also allows reverse engineering of biological networks taking into account the observed time course patterns of the actors. Many inference functions are provided and dedicated to get specific features for the inferred network such as sparsity, robust links, high confidence links or stable through resampling links. Some simulation and prediction tools are also available for cascade networks (Jung and others 2014, doi:10.1093/bioinformatics/btt705). Example of use with microarray or RNA-Seq data are provided.

Citation Patterns citation info
fbertran.github.io/Patterns/
github.com/fbertran/Patterns/
Bug report File report

Key Metrics

Version 1.4
R ≥ 3.5.0
Published 2022-12-01 512 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks Patterns results

Downloads

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Maintainer

Maintainer

Frederic Bertrand

frederic.bertrand@utt.fr

Authors

Frederic Bertrand

cre / aut

Myriam Maumy-Bertrand

aut

Material

README
NEWS
Reference manual
Package source

Vignettes

Network inference and analysis of CLL data
Introduction to Patterns: a modeling tool dedicated to biological network modeling

Classification MSC

62J05
62J07
62J99
92C42

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

Patterns archive

Depends

R ≥ 3.5.0

Imports

abind
gplots
graphics
grDevices
igraph
jetset
lars
lattice
limma
methods
Mfuzz
movMF
nnls
plotrix
repmis
SelectBoost
tnet
VGAM
WGCNA

Suggests

animation
Biobase
c060
cluster
elasticnet
glmnet
pixmap
biomaRt
CascadeData
knitr
R.rsp
spls
rmarkdown