Package: o2plsda 0.0.25

o2plsda: Multiomics Data Integration

Provides functions to do 'O2PLS-DA' analysis for multiple omics data integration. The algorithm came from "O2-PLS, a two-block (X±Y) latent variable regression (LVR) method with an integral OSC filter" which published by Johan Trygg and Svante Wold at 2003 <doi:10.1002/cem.775>. 'O2PLS' is a bidirectional multivariate regression method that aims to separate the covariance between two data sets (it was recently extended to multiple data sets) (Löfstedt and Trygg, 2011 <doi:10.1002/cem.1388>; Löfstedt et al., 2012 <doi:10.1016/j.aca.2013.06.026>) from the systematic sources of variance being specific for each data set separately.

Authors:Kai Guo [aut, cre], Junguk Hur [aut], Eva Feldman [aut]

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o2plsda.pdf |o2plsda.html✨
o2plsda/json (API)

Peer review:

Bug tracker:https://github.com/guokai8/o2plsda/issues

On CRAN:

integrationmulti-omicso2plsomicsplsda

37 exports 5 stars 1.29 score 34 dependencies 6 scripts 681 downloads

Last updated 2 months agofrom:ff38ccb66f. Checks:OK: 1 NOTE: 8. Indexed: yes.

Exports:AtAcolsdscolumn_sumseigenmulteigenthreegetMCCV_cpploadingsloadings.O2plsloadings.o2plsdaloadings.plsdao2cvo2plsoplsoplsdaorder_cpporder_strplot.O2plsplot.o2plsdaplot.plsdaplsdaprint.O2plsprint.plsdaQrcpp_rmses2sample_cppsample_lapplyscoresscores.O2plsscores.o2plsdascores.plsdasort_strsplit_strsummary.O2plssummary.plsdaunlist_cppvip

Dependencies:clicolorspacedplyrfansifarvergenericsggplot2ggrepelgluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcppRcppArmadillorlangscalestibbletidyselectutf8vctrsviridisLitewithr