- Home
- Bioconductor 3.0
- Software Packages
- TDARACNE
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("TDARACNE")
In most cases, you don't need to download the package archive at all.
TDARACNE
Network reverse engineering from time course data.
Bioconductor version: 3.0
To infer gene networks from time-series measurements is a current challenge into bioinformatics research area. In order to detect dependencies between genes at different time delays, we propose an approach to infer gene regulatory networks from time-series measurements starting from a well known algorithm based on information theory. The proposed algorithm is expected to be useful in reconstruction of small biological directed networks from time course data.
Author: Zoppoli P.,Morganella S., Ceccarelli M.
Maintainer: Zoppoli Pietro <zoppoli.pietro at gmail.com>
Citation (from within R,
enter citation("TDARACNE")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("TDARACNE")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("TDARACNE")
| R Script | TDARACNE | |
| Reference Manual |
Details
| biocViews | Microarray, Software, TimeCourse |
| Version | 1.16.0 |
| In Bioconductor since | BioC 2.8 (R-2.13) |
| License | GPL-2 |
| Depends | GenKern, Rgraphviz, Biobase |
| Imports | |
| LinkingTo | |
| Suggests | |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | TDARACNE_1.16.0.tar.gz |
| Windows Binary | TDARACNE_1.16.0.zip |
| Mac OS X 10.6 (Snow Leopard) | TDARACNE_1.16.0.tgz |
| Mac OS X 10.9 (Mavericks) | TDARACNE_1.16.0.tgz |
| Browse/checkout source | (username/password: readonly) |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Counting Reads for Differential Expression (parathyroideSE vignette)
- Annotation
- Annotating Variants
- Annotating Ranges
- Flow Cytometry and other assays
- Candidate Binding Sites for Known Transcription Factors
- Cloud-enabled cis-eQTL search and annotation
- RNA-Seq workflow: gene-level exploratory analysis and differential expression
- Changing genomic coordinate systems with rtracklayer::liftOver
- Mass spectrometry and proteomics data analysis
Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!
Contact us: support.bioconductor.org
Hosting provided by Fred Hutchinson Cancer Research Center
Copyright © 2003 - 2015, Bioconductor
