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

Bioconductor version: Release (3.19)

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>

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


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biocViews GeneExpression, GeneTarget, Genetics, GenomeWideAssociation, GraphAndNetwork, HiC, LinkageDisequilibrium, Network, Pathways, Software
Version 2.16.0
In Bioconductor since BioC 3.4 (R-3.3) (7.5 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
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