Bioconductor version: Release (3.16)
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,
enter citation("XINA")
):
To install this package, start R (version "4.2") 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.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("XINA")
HTML | R Script | xina_user_code |
Reference Manual | ||
Text | NEWS |
biocViews | Network, Proteomics, RNASeq, Software, SystemsBiology |
Version | 1.16.0 |
In Bioconductor since | BioC 3.8 (R-3.5) (4.5 years) |
License | GPL-3 |
Depends | R (>= 3.5) |
Imports | mclust, plyr, alluvial, ggplot2, igraph, gridExtra, tools, grDevices, graphics, utils, STRINGdb |
LinkingTo | |
Suggests | knitr, rmarkdown |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | XINA_1.16.0.tar.gz |
Windows Binary | XINA_1.16.0.zip |
macOS Binary (x86_64) | XINA_1.16.0.tgz |
macOS Binary (arm64) | XINA_1.16.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/XINA |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/XINA |
Bioc Package Browser | https://code.bioconductor.org/browse/XINA/ |
Package Short Url | https://bioconductor.org/packages/XINA/ |
Package Downloads Report | Download Stats |
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