R: Multi-Modal Matrix Joint Factorization for Integrative Multi-Omics Data Analysis

# Multi-Modal Matrix Joint Factorization for Integrative Multi-Omics Data Analysis

## Documentation for package ‘M3JF’ version 0.1.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

cost | Calculate the cost defined by the objective function
crimmix_data_gen | Generate the simulated dataset with three modalities with the package crimmix
feature_screen_sd | Screen the cluster related features via hypergeometric test p value and distribution standard derivation
feature_selection | Select the cluster related features via hypergeometric test
initialize_WL | Initialize the shared sub-matrix E and modality specific sub-matrices list Hi
iNMF_data_gen | Generate the simulated dataset with three modalities as the work iNMF
intersim_data_gen | Generate the simulated dataset with three modalities with the package InterSIM
kmeanspp | A new version of kmeans that generates stable cluster result
M3JF | Multi-Modal Matrix Joint Factorization
RotationCostBestGivenGraph | Evaluate the cluster number of multiple modality data
simulateY | Generate the simulated dataset with specified parameters
update_E | Update sub-matrix E
update_H | Update sub-matrices list Hi