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M2SMF
View on CRAN: Click
here
Download and install M2SMF package within the R console
Install from CRAN:
install.packages("M2SMF")
Install from Github:
library("remotes")
install_github("cran/M2SMF") Install by package version:
library("remotes")
install_version("M2SMF", "2.0") Attach the package and use:
library("M2SMF")
Maintained by
Xiaoyao Yin
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-06-19
Latest Update: 2019-11-17
Description:
A new method to implement clustering from multiple modality data of certain samples,
the function M2SMF() jointly factorizes multiple similarity matrices into a shared sub-matrix
and several modality private sub-matrices, which is further used for clustering. Along with
this method, we also provide function to calculate the similarity matrix and function to
evaluate the best cluster number from the original data.
How to cite:
Xiaoyao Yin (2018). M2SMF: Multi-Modal Similarity Matrix Factorization for Integrative Multi-Omics Data Analysis. R package version 2.0, https://cran.r-project.org/web/packages/M2SMF. Accessed 15 Jul. 2026.
Previous versions and publish date:
1.0 (2018-06-19 15:48), (2026-07-09 08:08)
Other packages that cited M2SMF R package
View M2SMF citation profile
Other R packages that M2SMF depends,
imports, suggests or enhances
Complete documentation for M2SMF
Functions, R codes and Examples using
the M2SMF R package
Some associated functions: Cal_NMI . M2SMF . Standard_Normalization . affinityMatrix . cost . dist2bin . dist2chi . dist2eu . initialization . initialize_WL . new_modularity . simu_data_gen . update_L . update_alpha .
Some associated R codes: Cal_NMI.R . M2SMF.R . Standard_Normalization.R . affinityMatrix.R . cost.R . dist2bin.R . dist2chi.R . dist2eu.R . initialization.R . initialize_WL.R . new_modularity.R . simu_data_gen.R . update_L.R . update_alpha.R . Full M2SMF package functions and examples
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