cost_matrix: Create cost matrix based on distance
In NCBI-Hackathons/robustSingleCell: Robust Subpopulation dEcision Trees
Description
Usage
Arguments
Value
Description
Create cost matrix based on distance
Usage
1
cost_matrix(T1_stats, T2_stats, lambda = NA, method = "spearman")
Arguments
T1_stats
A matrix with each row as features for each node
lambda
The cost of aligning a node with a empty node
method
The method used to compute correlation (spearman, pearson or euclidean)
T2
A matrix with each row as features for each node
Value
A pairwise distance matrix
NCBI-Hackathons/robustSingleCell documentation built on May 9, 2019, 3:27 a.m.
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Description Usage Arguments Value
Description
Create cost matrix based on distance
Usage
1 | cost_matrix(T1_stats, T2_stats, lambda = NA, method = "spearman")
|
Arguments
T1_stats |
A matrix with each row as features for each node |
lambda |
The cost of aligning a node with a empty node |
method |
The method used to compute correlation (spearman, pearson or euclidean) |
T2 |
A matrix with each row as features for each node |
Value
A pairwise distance 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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