multi_gene_sparsity: Combine multiple continuous variables by proportion of...
In LieberInstitute/spatialLIBD: spatialLIBD: an R/Bioconductor package to visualize spatially-resolved transcriptomics data
View source: R/multi_gene_sparsity.R
multi_gene_sparsity R Documentation
Combine multiple continuous variables by proportion of positive values
Description
To summarize multiple features, the proportion of features with positive
values for each spot is computed.
Usage
multi_gene_sparsity(cont_mat)
Arguments
cont_mat
A matrix() with spots as rows and 2 or more continuous
variables as columns.
Value
A numeric() vector with one element per spot, summarizing the
multiple continuous variables.
Author(s)
Nicholas J. Eagles
See Also
Other functions for summarizing expression of multiple continuous variables simultaneously:
multi_gene_pca(),
multi_gene_z_score()
LieberInstitute/spatialLIBD documentation built on Nov. 4, 2024, 11:57 a.m.
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View source: R/multi_gene_sparsity.R
| multi_gene_sparsity | R Documentation |
Combine multiple continuous variables by proportion of positive values
Description
To summarize multiple features, the proportion of features with positive values for each spot is computed.
Usage
multi_gene_sparsity(cont_mat)
Arguments
cont_mat |
A |
Value
A numeric() vector with one element per spot, summarizing the
multiple continuous variables.
Author(s)
Nicholas J. Eagles
See Also
Other functions for summarizing expression of multiple continuous variables simultaneously:
multi_gene_pca(),
multi_gene_z_score()
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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