Adj_Weighted_Jaccard_gene: Compute the Trending Matching similarity per each gene
In LucaGiudice/Simpati: Pathway-based classifier exploits patient similarity network paradigm
Description
Usage
Arguments
Value
View source: R/funs_measures.R
Description
Determine which is the similarity between patients using only one gene at the time to evaluate
how much each gene is contributing to the final patient similarities
Usage
1
Adj_Weighted_Jaccard_gene(input_m2)
Arguments
input_m2
Matrix of profiles (genes x samples)
Value
Produce a similarity matrix per gene/row of the original matrix
LucaGiudice/Simpati documentation built on Jan. 27, 2022, 11:42 p.m.
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Description Usage Arguments Value
View source: R/funs_measures.R
Description
Determine which is the similarity between patients using only one gene at the time to evaluate how much each gene is contributing to the final patient similarities
Usage
1 | Adj_Weighted_Jaccard_gene(input_m2)
|
Arguments
input_m2 |
Matrix of profiles (genes x samples) |
Value
Produce a similarity matrix per gene/row of the original matrix
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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