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mslp

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

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16

Predict synthetic lethal partners of tumour mutations


Bioconductor version: Development (3.24)

An integrated pipeline to predict the potential synthetic lethality partners (SLPs) of tumour mutations, based on gene expression, mutation profiling and cell line genetic screens data. It has builtd-in support for data from cBioPortal. The primary SLPs correlating with muations in WT and compensating for the loss of function of mutations are predicted by random forest based methods (GENIE3) and Rank Products, respectively. Genetic screens are employed to identfy consensus SLPs leads to reduced cell viability when perturbed.

Author: Chunxuan Shao [aut, cre]

Maintainer: Chunxuan Shao <chunxuan at outlook.com>

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

Chunxuan Shao. mslp: Predict synthetic lethal partners of tumour mutations. doi:10.18129/B9.bioc.mslp, R package version 1.15.0, https://bioconductor.org/packages/mslp.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("mslp")

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("mslp")
mslp HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews Pharmacogenetics, Pharmacogenomics, Software
Version1.15.0
In Bioconductor sinceBioC 3.16 (R-4.2) (4 years)
License GPL-3
Depends R (>= 4.2.0)
Imports data.table (>= 1.13.0), doRNG, fmsb, foreach, magrittr, org.Hs.eg.db, pROC, randomForest, RankProd, stats, utils
System Requirements
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Suggests BiocStyle, doFuture, future, knitr, rmarkdown, roxygen2, tinytest
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Package Archives

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

Source Package mslp_1.15.0.tar.gz
Windows Binary (x86_64) mslp_1.15.0.zip (64-bit only)
macOS Binary (big-sur-x86_64) mslp_1.15.0.tgz
macOS Binary (sonoma-arm64)
Source Repositorygit clone https://git.bioconductor.org/packages/mslp
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/mslp
Package Short Url https://bioconductor.org/packages/mslp/
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