Pi

This package is deprecated. It will probably be removed from Bioconductor. Please refer to the package end-of-life guidelines for more information.

This package is for version 3.20 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see PAPi.

Leveraging Genetic Evidence to Prioritise Drug Targets at the Gene and Pathway Level

Bioconductor version: Release (3.20)

Priority index or Pi is developed as a genomic-led target prioritisation system. It integrates functional genomic predictors, knowledge of network connectivity and immune ontologies to prioritise potential drug targets at the gene and pathway level.

Author: Hai Fang, the ULTRA-DD Consortium, Julian C Knight

Maintainer: Hai Fang <hfang.shanghai at gmail.com>

Citation (from within R, enter citation("Pi")):

Installation

To install this package, start R (version "4.4") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("Pi")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation


Reference Manual	PDF

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	GeneExpression, GeneTarget, Genetics, GenomeWideAssociation, GraphAndNetwork, HiC, LinkageDisequilibrium, Network, Pathways, Software
Version	2.18.0
In Bioconductor since	BioC 3.4 (R-3.3) (8 years)
License	GPL-3
Depends	igraph, dnet, ggplot2, graphics
Imports	Matrix, GenomicRanges, GenomeInfoDb, supraHex, scales, grDevices, ggrepel, ROCR, randomForest, glmnet, lattice, caret, plot3D, stats, methods, MASS, IRanges, BiocGenerics, dplyr, tidyr, ggnetwork, osfr, RCircos, purrr, readr, tibble
System Requirements
URL	http://pi314.r-forge.r-project.org
Bug Reports	https://github.com/hfang-bristol/Pi/issues

Suggests	foreach, doParallel, BiocStyle, knitr, rmarkdown, png, GGally, gridExtra, ggforce, fgsea, RColorBrewer, ggpubr, rtracklayer, ggbio, Gviz, data.tree, jsonlite
Linking To
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Depends On Me
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Build Report	Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository	git clone https://git.bioconductor.org/packages/Pi
Source Repository (Developer Access)	git clone [email protected]:packages/Pi
Package Short Url	https://bioconductor.org/packages/Pi/
Package Downloads Report	Download Stats