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HiPathia: High-throughput Pathway Analysis

Bioconductor version: Release (3.19)

Hipathia is a method for the computation of signal transduction along signaling pathways from transcriptomic data. The method is based on an iterative algorithm which is able to compute the signal intensity passing through the nodes of a network by taking into account the level of expression of each gene and the intensity of the signal arriving to it. It also provides a new approach to functional analysis allowing to compute the signal arriving to the functions annotated to each pathway.

Author: Marta R. Hidalgo [aut, cre], José Carbonell-Caballero [ctb], Francisco Salavert [ctb], Alicia Amadoz [ctb], Çankut Cubuk [ctb], Joaquin Dopazo [ctb]

Maintainer: Marta R. Hidalgo <marta.hidalgo at>

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


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

if (!require("BiocManager", quietly = TRUE))


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


To view documentation for the version of this package installed in your system, start R and enter:

Hipathia Package PDF R Script
Reference Manual PDF


biocViews GO, GeneExpression, GeneSignaling, GraphAndNetwork, Pathways, Software
Version 3.4.0
In Bioconductor since BioC 3.7 (R-3.5) (6 years)
License GPL-2
Depends R (>= 4.1), igraph (>= 1.0.1), AnnotationHub(>= 2.6.5), MultiAssayExperiment(>= 1.4.9), SummarizedExperiment(>= 1.8.1)
Imports coin, stats, limma, grDevices, utils, graphics, preprocessCore, servr, DelayedArray, matrixStats, methods, S4Vectors, ggplot2, ggpubr, dplyr, tibble, visNetwork, reshape2, MetBrewer
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Source Package hipathia_3.4.0.tar.gz
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macOS Binary (x86_64) hipathia_3.4.0.tgz
macOS Binary (arm64) hipathia_3.4.0.tgz
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