Last data update: 2014.03.03
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mixOmics
Package: mixOmics
Type: Package
Title: Omics Data Integration Project
Version: 6.0.0
Date: 2016-06-13
Depends: R (>= 2.10), MASS, lattice, ggplot2
Imports: igraph, rgl, ellipse, corpcor, RColorBrewer, plyr, parallel,
dplyr, tidyr, reshape2, methods
Author: Kim-Anh Le Cao, Florian Rohart, Ignacio Gonzalez, Sebastien Dejean with key contributors Benoit Gautier, Francois Bartolo
and contributions from Pierre Monget, Jeff Coquery, FangZou Yao, Benoit Liquet.
Maintainer: Kim-Anh Le Cao <k.lecao@uq.edu.au>
Description: Multivariate methods are well suited to large omics data sets where the number of variables (e.g. genes, proteins, metabolites) is much larger than the number of samples (patients, cells, mice). They have the appealing properties of reducing the dimension of the data by using instrumental variables (components), which are defined as combinations of all variables. Those components are then used to produce useful graphical outputs that enable better understanding of the relationships and correlation structures between the different data sets that are integrated. mixOmics offers a wide range of multivariate methods for the exploration and integration of biological datasets with a particular focus on variable selection. The package proposes several sparse multivariate models we have developed to identify the key variables that are highly correlated, and/or explain the biological outcome of interest. The data that can be analysed with mixOmics may come from high throughput sequencing technologies, such as omics data (transcriptomics, metabolomics, proteomics, metagenomics etc) but also beyond the realm of omics (e.g. spectral imaging). The methods implemented in mixOmics can also handle missing values without having to delete entire rows with missing data. A non exhaustive list of methods include generalised Canonical Correlation Analysis, sparse Partial Least Squares and sparse Discriminant Analysis. Recently we implemented integrative methods to combine multiple data sets: horizontal integration with regularised Generalised Canonical Correlation Analysis and vertical integration with multi-group Partial Least Squares.
License: GPL (>= 2)
URL: http://www.mixOmics.org
BugReports: mixomics@math.univ-toulouse.fr or
https://bitbucket.org/klecao/package-mixomics/issues
Repository: CRAN
Date/Publication: 2016-06-14 12:08:22
Packaged: 2016-06-14 06:49:17 UTC; klecao
NeedsCompilation: no
LazyData: true
Install log
* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'mixOmics' ...
** package 'mixOmics' successfully unpacked and MD5 sums checked
** R
** data
*** moving datasets to lazyload DB
** preparing package for lazy loading
** help
*** installing help indices
converting help for package 'mixOmics'
finding HTML links ... done
Koren.16S html
block.pls html
block.plsda html
block.spls html
block.splsda html
breast.TCGA html
breast.tumors html
cim html
cimDiablo html
circosPlot html
colors html
diverse.16S html
estim.regul html
explained_variance html
image.estim.regul html
image.tune.rcc html
imgCor html
ipca html
linnerud html
liver.toxicity html
logratio.transfo html
map html
mat.rank html
mint.block.pls html
mint.block.plsda html
mint.block.spls html
mint.block.splsda html
mint.pls html
mint.plsda html
mint.spls html
mint.splsda html
mixOmics html
multidrug html
multilevel html
nearZeroVar html
network html
nipals html
nutrimouse html
pca html
pcatune html
perf html
plot.perf html
plot.rcc html
plotArrow html
plotContrib html
plotDiablo html
plotIndiv html
plotLoadings html
plotVar html
pls html
plsda html
predict html
print.methods html
rcc html
scatterutil html
selectVar html
sipca html
spca html
spls html
splsda html
srbct html
stemcells html
study_split html
summary html
tune html
tune.mint.splsda html
tune.multilevel html
tune.pca html
tune.rcc html
tune.splsda html
unmap html
vac18 html
vac18.simulated html
vip html
withinVariation html
wrapper.rgcca html
wrapper.sgcca html
yeast html
** building package indices
** testing if installed package can be loaded
* DONE (mixOmics)
Making 'packages.html' ... done
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