nemo.clustering: NEMO clustering
In xlucpu/MOVICS: Multi-Omics integration and VIsualization in Cancer Subtyping

Performs multi-omic clustering on a datset using the NEMO algorithm. Uses nemo.num.clusters to estimate the number of clusters.

1	nemo.clustering(omics.list, num.clusters = NULL, num.neighbors = NA)

`omics.list`	A list of the data to be clustered, where each an entry is a matrix of features x samples.
`k`	The number of neighbors to use for each omic. It can either be a number, a list of numbers or NA. If it is a number, this is the number of neighbors used for all omics. If this is a list, the number of neighbors are taken for each omic from that list. If it is NA, each omic chooses the number of neighbors to be the number of samples divided by NUM.NEIGHBORS.RATIO.

A single matrix measuring similarity between the samples across all omics.

Nimrod Rappoport

Rappoport N, Shamir R (2019). NEMO: cancer subtyping by integration of partial multi-omic data. Bioinformatics, 35(18):3348-3356.

xlucpu/MOVICS documentation built on July 24, 2021, 9:23 p.m.