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MOSS
View on CRAN: Click
here
Download and install MOSS package within the R console
Install from CRAN:
install.packages("MOSS")
Install from Github:
library("remotes")
install_github("cran/MOSS") Install by package version:
library("remotes")
install_version("MOSS", "0.2.2") Attach the package and use:
library("MOSS")
Maintained by
Agustin Gonzalez-Reymundez
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-01-19
Latest Update:
Description:
High dimensionality, noise and heterogeneity among
samples and features challenge the omic integration task. Here we
present an omic integration method based on sparse singular value
decomposition (SVD) to deal with these limitations, by: a. obtaining
the main axes of variation of the combined omics, b. imposing sparsity
constraints at both subjects (rows) and features (columns) levels
using Elastic Net type of shrinkage, and c. allowing both linear and
non-linear projections (via t-Stochastic Neighbor Embedding) of the
omic data to detect clusters in very convoluted data
(Gonzalez-Reymundez et. al, 2022) .
How to cite:
Agustin Gonzalez-Reymundez (2021). MOSS: Multi-Omic Integration via Sparse Singular Value Decomposition. R package version 0.2.2, https://cran.r-project.org/web/packages/MOSS. Accessed 29 Aug. 2026.
Previous versions and publish date:
Other packages that cited MOSS R package
View MOSS citation profile
Other R packages that MOSS depends,
imports, suggests or enhances
Complete documentation for MOSS
Functions, R codes and Examples using
the MOSS R package
Some associated functions: aest.f . cov_adj . metdat . moss . moss_heatmap . moss_select . moss_signatures . moss_venn . pca2tsne . prepro_na . prepro_sub . simulate_data . ssvdEN . ssvdEN_sol_path . ssvdEN_sol_path_par . tsne2clus .
Some associated R codes: BHI.R . aest_f.R . cov_adj.R . dbscan_BHI.R . dbscan_SH.R . metdat.R . moss.R . moss_heatmap.R . moss_jumpstart.R . moss_select.R . moss_signatures.R . moss_venn.R . pca2tsne.R . prepro_na.R . prepro_sub.R . rrr_big.R . rrr_functions.R . simulate_data.R . ssvdEN.R . ssvdEN_sol_path.R . ssvdEN_sol_path_par.R . tsne2clus.R . Full MOSS package functions and examples
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