This is the released version of XINA; for the devel version, see XINA.
Multiplexes Isobaric Mass Tagged-based Kinetics Data for Network AnalysisBioconductor version: Release (3.21)
The aim of XINA is to determine which proteins exhibit similar patterns within and across experimental conditions, since proteins with co-abundance patterns may have common molecular functions. XINA imports multiple datasets, tags dataset in silico, and combines the data for subsequent subgrouping into multiple clusters. The result is a single output depicting the variation across all conditions. XINA, not only extracts coabundance profiles within and across experiments, but also incorporates protein-protein interaction databases and integrative resources such as KEGG to infer interactors and molecular functions, respectively, and produces intuitive graphical outputs.
Author: Lang Ho Lee <lhlee at bwh.harvard.edu> and Sasha A. Singh <sasingh at bwh.harvard.edu>
Maintainer: Lang Ho Lee <lhlee at bwh.harvard.edu> and Sasha A. Singh <sasingh at bwh.harvard.edu>
Citation (from within R, entercitation("XINA")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("XINA")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("XINA")Follow Installation instructions to use this package in your R session.
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