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To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("ppiStats")
In most cases, you don't need to download the package archive at all.
ppiStats
Protein-Protein Interaction Statistical Package
Bioconductor version: 3.0
Tools for the analysis of protein interaction data.
Author: T. Chiang and D. Scholtens with contributions from W. Huber and L. Wang
Maintainer: Bioconductor Package Maintainer <maintainer at bioconductor.org>
Citation (from within R,
enter citation("ppiStats")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("ppiStats")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("ppiStats")
| R Script | ppiStats | |
| Reference Manual |
Details
| biocViews | GraphAndNetwork, Network, NetworkInference, Proteomics, Software |
| Version | 1.32.0 |
| In Bioconductor since | BioC 1.9 (R-2.4) |
| License | Artistic-2.0 |
| Depends | ScISI(>= 1.13.2), lattice, ppiData(>= 0.1.19) |
| Imports | Biobase, Category, graph, graphics, grDevices, lattice, methods, RColorBrewer, stats |
| LinkingTo | |
| Suggests | yeastExpData, xtable |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | PCpheno |
| Imports Me | |
| Suggests Me | BiocCaseStudies, ppiData, RpsiXML |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | ppiStats_1.32.0.tar.gz |
| Windows Binary | ppiStats_1.32.0.zip |
| Mac OS X 10.6 (Snow Leopard) | ppiStats_1.32.0.tgz |
| Mac OS X 10.9 (Mavericks) | ppiStats_1.32.0.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
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