Package: MSstatsBioNet 1.5.1
MSstatsBioNet: Network Analysis for MS-based Proteomics Experiments
A set of tools for network analysis using mass spectrometry-based proteomics data and network databases. The package takes as input the output of MSstats differential abundance analysis and provides functions to perform enrichment analysis and visualization in the context of prior knowledge from past literature. Notably, this package integrates with INDRA, which is a database of biological networks extracted from the literature using text mining techniques.
Authors:
MSstatsBioNet_1.5.1.tar.gz
MSstatsBioNet_1.5.1.zip(r-4.7)MSstatsBioNet_1.5.1.zip(r-4.6)MSstatsBioNet_1.5.1.zip(r-4.5)
MSstatsBioNet_1.5.1.tgz(r-4.6-any)MSstatsBioNet_1.5.1.tgz(r-4.5-any)
MSstatsBioNet_1.5.1.tar.gz(r-4.7-any)MSstatsBioNet_1.5.1.tar.gz(r-4.6-any)
MSstatsBioNet_1.5.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
MSstatsBioNet/json (API)
NEWS
| # Install 'MSstatsBioNet' in R: |
| install.packages('MSstatsBioNet', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/vitek-lab/msstatsbionet/issues
Pkgdown/docs site:https://vitek-lab.github.io
On BioConductor:MSstatsBioNet-1.5.1(bioc 3.24)MSstatsBioNet-1.4.1(bioc 3.23)
immunooncologymassspectrometryproteomicssoftwarequalitycontrolnetworkenrichmentnetwork
Last updated from:d1e62195f8. Checks:1 ERROR, 7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | ERROR | 195 | ||
| linux-devel-x86_64 | NOTE | 240 | ||
| source / vignettes | OK | 272 | ||
| linux-release-x86_64 | NOTE | 240 | ||
| macos-release-arm64 | NOTE | 109 | ||
| macos-oldrel-arm64 | NOTE | 160 | ||
| windows-devel | NOTE | 147 | ||
| windows-release | NOTE | 127 | ||
| windows-oldrel | NOTE | 148 | ||
| wasm-release | OK | 137 |
Exports:annotateProteinInfoFromIndracytoscapeNetworkcytoscapeNetworkOutputdeleteEdgeFromNetworkexportNetworkToHTMLfilterSubnetworkByContextgetSubnetworkFromIndrapreviewNetworkInBrowserrenderCytoscapeNetwork
Dependencies:askpassbackportsbase64encbitopsbootbslibcachemcaToolscheckmateclicpp11crosstalkcurldata.tabledigestdplyrevaluatefarverfastmapfloatfontawesomefsgenericsggplot2ggrepelgluegplotsgtablegtoolshighrhtmltoolshtmlwidgetshttrisobandISOcodesjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelazyevallgrlifecyclelimmalme4log4rmagrittrmarrayMASSMatrixMatrixExtramemoisemimeminqamlapiMSstatsMSstatsConvertnlmenloptropensslotelpillarpkgconfigplotlypreprocessCorepromisespurrrr2rR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrentrezRhpcBLASctlrlangrmarkdownrsparseS7sassscalesstatmodstopwordsstringistringrsurvivalsystext2vectibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunXMLxml2yaml
Filtering Subnetworks by Biological Context
Rendered fromFilter-By-Context.Rmdusingknitr::rmarkdownon May 28 2026.Last update: 2026-03-11
Started: 2026-03-11
MSstatsBioNet Introduction
Rendered fromMSstatsBioNet.Rmdusingknitr::rmarkdownon May 28 2026.Last update: 2025-09-11
Started: 2024-07-25
PTM Analysis
Rendered fromPTM-Analysis.Rmdusingknitr::rmarkdownon May 28 2026.Last update: 2026-03-01
Started: 2025-09-11
Visualization Engine with CytoscapeJS
Rendered fromCytoscape-Visualization.Rmdusingknitr::rmarkdownon May 28 2026.Last update: 2026-03-01
Started: 2026-02-27
