compute_TSS: Calculate tissue specificity score (TSS)
In rmauntz/Larson_cfRNA_DarkChannelBiomarkers: A comprehensive characterization of the cell-free transcriptome reveals tissue- and subtype-specific biomarkers for cancer detection
Description
Usage
Arguments
Value
View source: R/tissueDeconResidual.R
Description
Calculates tissue specificity score (TSS) from median tissue expression matrix,
the fraction of each tissue expression over the sum of all tissue expression
Usage
1
compute_TSS(tissue_matrix, background_threshold = 1)
Arguments
tissue_matrix
data_frame with columns of gene-wise median counts by reference tissue
background_threshold
numeric value at which to binarize tissue-specific expression
Value
A data_frame with one row per containing the tissue specificity score for each tissue
rmauntz/Larson_cfRNA_DarkChannelBiomarkers documentation built on Jan. 30, 2021, 12:47 a.m.
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Description Usage Arguments Value
View source: R/tissueDeconResidual.R
Description
Calculates tissue specificity score (TSS) from median tissue expression matrix, the fraction of each tissue expression over the sum of all tissue expression
Usage
1 | compute_TSS(tissue_matrix, background_threshold = 1)
|
Arguments
tissue_matrix |
data_frame with columns of gene-wise median counts by reference tissue |
background_threshold |
numeric value at which to binarize tissue-specific expression |
Value
A data_frame with one row per containing the tissue specificity score for each tissue
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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