M2SMF: the main part for M2SMF and clustering result
In M2SMF: Multi-Modal Similarity Matrix Factorization for Integrative Multi-Omics Data Analysis

jointly factorize multiple matrices into a shared sub-matrix and multiple private sub-matrices

1	M2SMF(WL, lambda = 0.25, theta = 10^-4, k)

`WL`	A list of similarity matrices
`lambda`	A parameter to set the relative weight of the group sparsity constraints
`theta`	A parameter to determine the convergence
`k`	A parameter to specify the cluster number

A list containing the clustering result

`sub_matrices`	a list containing all the sub-matrices
`cluster_res`	the clustering result which is as long as the number of samples

Xiaoyao Yin

1 2	WL <- simu_data_gen() res <- M2SMF(WL,0.25,10^-4,5)

M2SMF documentation built on Jan. 11, 2020, 9:28 a.m.

M2SMF index

An Introduction to the package M2SMF"

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