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NADIA

This is the development version of NADIA; to use it, please install the devel version of Bioconductor.

Missing Value-Aware Differential Abundance Analysis of DIA Proteomics Data


Bioconductor version: Development (3.24)

Provides an end-to-end workflow for differential abundance analysis of protein quantification data, with particular attention to missing values in data-independent acquisition (DIA) proteomics. Quantification reports exported from Spectronaut, DIA-NN and Proteome Discoverer for TMT and label-free experiments (DDA/DIA) are converted into a common data structure, normalised, optionally batch-corrected, imputed and analysed using limma or limpa. The package includes individual and two-stage imputation strategies that treat values assumed to be missing at random and missing not at random separately. Data-driven functions evaluate and rank normalisation and imputation workflows using simulated missingness or spike-in datasets with known ground truth, allowing method selection to be justified for each dataset. Results can be explored through interactive Highcharts visualisations, static ggplot2 and ComplexHeatmap figures, and sortable tables.

Author: Sergio Ciordia [aut, cre] ORCID iD ORCID: 0000-0002-5726-853X

Maintainer: Sergio Ciordia <sciordia at gmail.com>

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

Sergio Ciordia. NADIA: Missing Value-Aware Differential Abundance Analysis of DIA Proteomics Data. doi:10.18129/B9.bioc.NADIA, R package version 0.99.3, https://bioconductor.org/packages/NADIA.

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("NADIA")

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("NADIA")
An introduction to NADIA HTML
Batch correction: diagnose, correct, verify HTML
Benchmarking with a spike-in: scoring against known truth HTML
Choosing normalization and imputation methods HTML
Input formats: reports and SummarizedExperiment objects HTML
Missing values: what they mean and how to fill them HTML
Pattern Profiler: identifying shared protein profiles HTML
Results and export: sharing and preserving an analysis HTML
Visualization: exploring and presenting results HTML
Reference ManualPDF
NEWSText

Details

biocViews BatchEffect, DifferentialExpression, MassSpectrometry, Normalization, Proteomics, QualityControl, Software
Version0.99.3
In Bioconductor sinceBioC 3.24 (R-4.6)
License GPL (>= 3)
Depends R (>= 4.5.0)
Imports dplyr, ggplot2, grDevices, grid, htmltools, htmlwidgets, jsonlite, limma, magrittr, methods, MsCoreUtils, pROC, RColorBrewer, rlang, rrcovNA, S4Vectors, stats, stringr, SummarizedExperiment, tibble, tidyr, tidyselect, tools, utils
System Requirements
URLhttps://github.com/sciordia/NADIA https://sciordia.github.io/NADIA/
Bug Reportshttps://github.com/sciordia/NADIA/issues
See More
Suggests arrow, BERT, Biobase, BiocStyle, circlize, cluster, ComplexHeatmap, crosstalk, DBI, duckdb, e1071, ggsci, highcharter, impute, imputeLCMD, knitr, limpa, lme4, MASS, Mfuzz, mice, missForest, norm, paletteer, pcaMethods, reactable, rmarkdown, scales, testthat (>= 3.0.0), tidyHeatmap, vegan, viridis, vsn, withr
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Package Archives

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

Source Package
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (sonoma-arm64)
Source Repositorygit clone https://git.bioconductor.org/packages/NADIA
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/NADIA
Package Short Url https://bioconductor.org/packages/NADIA/
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