Description Usage Arguments Value Author(s) Examples
Functions to calculate distance matrices using cpu or gpu computing
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | calculate_distance_pearson_gpu(x)
calculate_distance_spearman_gpu(x)
calculate_distance_uncentered_gpu(x)
calculate_distance_euclidean_gpu(x)
calculate_distance_pearson_cpu(x)
calculate_distance_spearman_cpu(x)
calculate_distance_uncentered_cpu(x)
calculate_distance_euclidean_cpu(x)
select_distance(distancetype = "pearson", usegpu = TRUE)
|
x |
an expression matrix with features as rows and samples as columns |
distancetype |
a |
usegpu |
|
select_distance(distancetype, usegpu) assigns global function calculate_distance according to the parameters specified
calculate_distance_pearson_gpu(x) returns columnwise pearson distance calculated using the GPU
calculate_distance_pearson_cpu(x) returns columnwise pearson distance calculated using the CPU
calculate_distance_uncentered_gpu(x) returns columnwise uncentered pearson distance calculated using the GPU
calculate_distance_uncentered_cpu(x) returns columnwise uncentered pearson distance calculated using the CPU
calculate_distance_spearman_gpu(x) returns columnwise spearman distance calculated using the GPU
calculate_distance_spearman_cpu(x) returns columnwise spearman distance calculated using the CPU
calculate_distance_euclidean_gpu(x) returns columnwise euclidean distance calculated using the GPU
calculate_distance_euclidean_cpu(x) returns columnwise euclidean distance calculated using the CPU
Martin E Guerrero-Gimenez, mguerrero@mendoza-conicet.gob.ar
1 2 3 4 5 6 7 8 | ## Not run:
rna_luad<-use_rna_luad()
prm <- rna_luad$TCGA$expression_matrix
#Will select the calculate_distance_pearson_cpu() function to calculate the distance matrix
calculate_distance<-select_distance(distancetype= "pearson", usegpu=FALSE)
calculate_distance(prm)
## End(Not run)
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