scp
Mass Spectrometry-Based Single-Cell Proteomics Data Analysis
Bioconductor version: 3.23 · Package version: 1.22.0
Utility functions for manipulating, processing, and analyzing mass spectrometry-based single-cell proteomics data. The package is an extension to the 'QFeatures' package and relies on 'SingleCellExpirement' to enable single-cell proteomics analyses. The package offers the user the functionality to process quantitative table (as generated by MaxQuant, Proteome Discoverer, and more) into data tables ready for downstream analysis and data visualization.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("scp") Details
| Maintainer | Christophe Vanderaa <vanderaa.christophe@gmail.com> |
| Author | Christophe Vanderaa [aut, cre] (ORCID: <https://orcid.org/0000-0001-7443-5427>), Laurent Gatto [aut] (ORCID: <https://orcid.org/0000-0002-1520-2268>), Léopold Guyot [ctb] |
| License | Artistic-2.0 |
| URL | https://UCLouvain-CBIO.github.io/scp |
| Bug Reports | https://github.com/UCLouvain-CBIO/scp/issues |
| Downloads rank | 419 |
| Source branch | RELEASE_3_23 |
| biocViews | CellBasedAssays, GeneExpression, MassSpectrometry, Preprocessing, Proteomics, SingleCell, Software |
Documentation
- Advanced usage of scp
- Load Single-Cell Proteomics data using readSCP
- QFeatures in a nutshell
- Reporting missing values for Single Cell Proteomics
- Single Cell Proteomics data modelling using scplainer
- Single Cell Proteomics data processing and analysis
Download
Dependencies
Depends: R (>= 4.3.0), QFeatures (>= 1.19.1)
Imports: IHW, ggplot2, ggrepel, matrixStats, metapod, methods, MsCoreUtils, MultiAssayExperiment, nipals, RColorBrewer, S4Vectors, SingleCellExperiment, SummarizedExperiment, stats, utils
Suggests: BiocStyle, BiocGenerics, MsDataHub (>= 1.3.3), impute, knitr, patchwork, preprocessCore, rmarkdown, scater, scpdata, sva, testthat, vdiffr, vsn, uwot
Reverse dependencies
Suggests Me (1): scpdata