Description Usage Arguments Value References Examples
This function wraps the IntNMF (Integrative Clustering via Non-negative Matrix Factorization) algorithm and provides standard output for 'getMoHeatmap()' and 'getConsensusMOIC()'.
1 |
data |
List of matrices. |
N.clust |
Number of clusters. |
type |
Data type corresponding to the list of matrics, which can be gaussian, binomial or possion. |
A list with the following components:
fit
an object returned by nmf.mnnals.
clust.res
a data.frame storing sample ID and corresponding clusters.
mo.method
a string value indicating the method used for multi-omics integrative clustering.
Chalise P, Fridley BL (2017). Integrative clustering of multi-level omic data based on non-negative matrix factorization algorithm. PLoS One, 12(5):e0176278.
1 | # There is no example and please refer to vignette.
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