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Bioconductor - LimROTS (development version)

LimROTS

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

LimROTS: A Hybrid Method Integrating Empirical Bayes and Reproducibility-Optimized Statistics for Robust Differential Expression Analysis

Bioconductor version: Development (3.22)

Differential expression analysis is a prevalent method utilised in the examination of diverse biological data. The reproducibility-optimized test statistic (ROTS) modifies a t-statistic based on the data's intrinsic characteristics and ranks features according to their statistical significance for differential expression between two or more groups (f-statistic). Focussing on proteomics and metabolomics, the current ROTS implementation cannot account for technical or biological covariates such as MS batches or gender differences among the samples. Consequently, we developed LimROTS, which employs a reproducibility-optimized test statistic utilising the limma methodology to simulate complex experimental designs. LimROTS is a hybrid method integrating empirical bayes and reproducibility-optimized statistics for robust analysis of proteomics and metabolomics data.

Author: Ali Mostafa Anwar [aut, cre] ORCID: 0000-0002-5201-387X , Leo Lahti [aut, ths] ORCID: 0000-0001-5537-637X , Akewak Jeba [aut, ctb] ORCID: 0009-0007-1347-7552 , Eleanor Coffey [aut, ths] ORCID: 0000-0002-9717-5610

Maintainer: Ali Mostafa Anwar <aliali.mostafa99 at gmail.com>

Citation (from within R, enter citation("LimROTS")): Installation

To install this package, start R (version "4.5") and enter:


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

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

BiocManager::install("LimROTS")

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("LimROTS")
Details biocViews DifferentialExpression, GeneExpression, ImmunoOncology, Metabolomics, Microarray, Proteomics, RNASeq, Software, mRNAMicroarray Version 1.1.4 In Bioconductor since BioC 3.21 (R-4.5) (< 6 months) License Artistic-2.0 Depends R (>= 4.5.0), SummarizedExperiment Imports limma, stringr, qvalue, utils, stats, BiocParallel, S4Vectors, dplyr System Requirements URL https://github.com/AliYoussef96/LimROTS https://aliyoussef96.github.io/LimROTS/ Bug Reports https://github.com/AliYoussef96/LimROTS/issues See More Package Archives

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


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