cor_fast: Computes a Pearson
In khazum/ccImpute: ccImpute: an accurate and scalable consensus clustering based approach to
impute dropout events in the single-cell RNA-seq data
(https://doi.org/10.1186/s12859-022-04814-8)
cor_fast R Documentation
Computes a Pearson
Description
This function calculates a Pearson correlation matrix
Usage
cor_fast(x, n_cores)
Arguments
x
The input matrix, where each column represents a set of
observations.
n_cores
The number of CPU cores to utilize for parallel computation
(optional, defaults to 1).
Value
A Pearson correlation matrix if 'useRanks' is 'false'. If
'useRanks' is 'true', returns a Spearman correlation matrix.
khazum/ccImpute documentation built on July 26, 2024, 1:13 a.m.
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| cor_fast | R Documentation |
Computes a Pearson
Description
This function calculates a Pearson correlation matrix
Usage
cor_fast(x, n_cores)
Arguments
x |
The input matrix, where each column represents a set of observations. |
n_cores |
The number of CPU cores to utilize for parallel computation (optional, defaults to 1). |
Value
A Pearson correlation matrix if 'useRanks' is 'false'. If 'useRanks' is 'true', returns a Spearman correlation 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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