Description Usage Arguments Value References Examples
This function wraps the SNF (Similarity Network Fusion) algorithm and provides standard output for 'getMoHeatmap()' and 'getConsensusMOIC()'.
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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. |
K |
An integer value to indicate the number of neighbors in K-nearest neighbors part of the algorithm. |
t |
An integer value to indicate the number of interations for the diffusion process. |
sigma |
A numerical value to indicate the variance for local model. |
A list with the following components:
fit
an object returned by SNF.
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.
Wang B, Mezlini AM, Demir F, et al (2014). Similarity network fusion for aggregating data types on a genomic scale. Nat Methods, 11(3):333-337.
1 | # There is no example and please refer to vignette.
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