CombineSubspaces: Combine subspaces (i.e. using Grassmann Manifold Technique -...

View source: R/metafeaturefunctions.R

CombineSubspacesR Documentation

Combine subspaces (i.e. using Grassmann Manifold Technique - see PMID 30329022) given two different modalities of data (e.g. gene and metabolite) and the alpha value and the desired number of eigenvectors.

Description

Combine subspaces (i.e. using Grassmann Manifold Technique - see PMID 30329022) given two different modalities of data (e.g. gene and metabolite) and the alpha value and the desired number of eigenvectors.

Usage

CombineSubspaces(type1Similarity, type2Similarity, eigenCount, alpha)

Arguments

type1Similarity

A cosine similarity matrix for the first data type, found using ComputeCosineSimilarity.

type2Similarity

A cosine similarity matrix for the second data type, found using ComputeCosineSimilarity.

eigenCount

The number of eigenvectors to use.

alpha

The value of alpha to use.

Value

A named list including the data projected onto the merged subspace, the optimal number of eigenvectors, the optimal alpha value, the clustering coefficient, and the dendrogram.


ncats/MultiOmicsGraphPrediction documentation built on Aug. 23, 2023, 9:19 a.m.