HPiP

This is the development version of HPiP; for the stable release version, see HPiP.

Host-Pathogen Interaction Prediction

Bioconductor version: Development (3.18)

HPiP (Host-Pathogen Interaction Prediction) uses an ensemble learning algorithm for prediction of host-pathogen protein-protein interactions (HP-PPIs) using structural and physicochemical descriptors computed from amino acid-composition of host and pathogen proteins.The proposed package can effectively address data shortages and data unavailability for HP-PPI network reconstructions. Moreover, establishing computational frameworks in that regard will reveal mechanistic insights into infectious diseases and suggest potential HP-PPI targets, thus narrowing down the range of possible candidates for subsequent wet-lab experimental validations.

Author: Matineh Rahmatbakhsh [aut, trl, cre], Mohan Babu [led]

Maintainer: Matineh Rahmatbakhsh <matinerb.94 at gmail.com>

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

Installation

To install this package, start R (version "4.3") and enter:

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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("HPiP")

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

Documentation

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

browseVignettes("HPiP")

Introduction to HPiP	HTML	R Script
Reference Manual	PDF
NEWS	Text
LICENSE	Text

Details

biocViews	GenePrediction, Network, NetworkInference, Proteomics, Software, StructuralPrediction, SystemsBiology
Version	1.7.0
In Bioconductor since	BioC 3.14 (R-4.1) (2 years)
License	MIT + file LICENSE
Depends	R (>= 4.1)
Imports	dplyr (>= 1.0.6), httr (>= 1.4.2), readr, tidyr, tibble, utils, stringr, magrittr, caret, corrplot, ggplot2, pROC, PRROC, igraph, graphics, stats, purrr, grDevices, protr, MCL
Linking To
Suggests	rmarkdown, colorspace, e1071, kernlab, ranger, SummarizedExperiment, Biostrings, randomForest, gprofiler2, gridExtra, ggthemes, BiocStyle, BiocGenerics, RUnit, tools, knitr
System Requirements
Enhances
URL	https://github.com/mrbakhsh/HPiP
Bug Reports	https://github.com/mrbakhsh/HPiP/issues

Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	HPiP_1.7.0.tar.gz
Windows Binary	HPiP_1.7.0.zip
macOS Binary (x86_64)	HPiP_1.7.0.tgz
macOS Binary (arm64)	HPiP_1.7.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/HPiP
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/HPiP
Bioc Package Browser	https://code.bioconductor.org/browse/HPiP/
Package Short Url	https://bioconductor.org/packages/HPiP/
Package Downloads Report	Download Stats