get_cooccurrence_stats: Calculates the number of elements common between columns of...
In CrossExpression: Cross-Expression Analysis of Spatial Transcriptomics Data
View source: R/CrossExpression.R
get_cooccurrence_stats R Documentation
Calculates the number of elements common between columns of two matrices.
This function performs a simple dot product when binarize = FALSE.
Description
Calculates the number of elements common between columns of two matrices.
This function performs a simple dot product when binarize = FALSE.
Usage
get_cooccurrence_stats(matrix1, matrix2, sparse = TRUE, binarize = TRUE)
Arguments
matrix1
The first input matrix.
matrix2
The second input matrix.
sparse
If TRUE, coerces matrices to sparse format for efficiency.
binarize
If TRUE, converts matrices to binary format to count the number of common elements.
Value
Returns a column by column matrix, where entries represent the number of common elements.
CrossExpression documentation built on Aug. 8, 2025, 7:25 p.m.
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View source: R/CrossExpression.R
| get_cooccurrence_stats | R Documentation |
Calculates the number of elements common between columns of two matrices. This function performs a simple dot product when binarize = FALSE.
Description
Calculates the number of elements common between columns of two matrices. This function performs a simple dot product when binarize = FALSE.
Usage
get_cooccurrence_stats(matrix1, matrix2, sparse = TRUE, binarize = TRUE)
Arguments
matrix1 |
The first input matrix. |
matrix2 |
The second input matrix. |
sparse |
If TRUE, coerces matrices to sparse format for efficiency. |
binarize |
If TRUE, converts matrices to binary format to count the number of common elements. |
Value
Returns a column by column matrix, where entries represent the number of common elements.
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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