MSstatsResponse

Statistical Methods for Chemoproteomics Dose-Response Analysis

Bioconductor version: 3.24 · Package version: 1.3.4

Tools for detecting drug-protein interactions and estimating IC50 values from chemoproteomics data. Implements semi-parametric isotonic regression, bootstrapping, and curve fitting to evaluate compound effects on protein abundance.

Installation

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

BiocManager::install("MSstatsResponse")

Details

Maintainer	Sarah Szvetecz <szvetecz.s@northeastern.edu>
Author	Sarah Szvetecz [aut, cre], Tony Wu [aut], Devon Kohler [aut], Olga Vitek [aut]
License	Artistic-2.0
URL	https://github.com/Vitek-Lab/MSstatsResponse
Bug Reports	https://github.com/Vitek-Lab/MSstatsResponse/issues
Downloads rank	276
Source branch	devel
biocViews	MassSpectrometry, Proteomics, Regression, Software, StatisticalMethod

Documentation

MSstatsResponse: A package for detecting drug-protein interactions in dose-response mass spectrometry-based proteomics experiments

Download

Follow the installation instructions to use this package in your R session.

Source package	MSstatsResponse_1.3.4.tar.gz
macOS binary (arm64)	MSstatsResponse_1.3.4.tgz
macOS binary (x86_64)	MSstatsResponse_1.3.4.tgz

Dependencies

Depends: R (>= 4.5.0)

Imports: BiocParallel, ggplot2, dplyr, stats, parallel, data.table, stringr, plotly, utils

Suggests: MSstats, MSstatsTMT, tidyverse, boot, purrr, gridExtra, knitr, rmarkdown, BiocStyle, testthat

Reverse dependencies

Imports Me (1): MSstatsShiny