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MOSS  

Multi-Omic Integration via Sparse Singular Value Decomposition
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]
All associated links for this package
First Published: 2021-01-19
Latest Update: 2022-03-25
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 20 Feb. 2025.
Previous versions and publish date:
0.1.0 (2021-01-19 10:20), 0.2.0 (2021-07-16 17:10), 0.2.2 (2022-03-25 16:50)
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