summarise_rpms: Summarises gene-wise RPMs across a vector of samples
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/summarise_rpms.R
Description
Summarises gene-wise RPMs across a vector of samples
Usage
1
summarise_rpms(gene_ids, rpms, th_rpm = 0)
Arguments
gene_ids
vector of gene ids
rpms
matrix of gene-wise rpms, number of rows are length(gene_ids)
th_rpm
numeric threshold RPM limit to binarise gene as detected (1) or not detected (0)
Value
A data_frame with one row per gene id, columns containing number detected above th_rpm,
sum_rpms by gene, mean_rpm by gene, and sd_rpm (standard deviation) by gene
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/summarise_rpms.R
Description
Summarises gene-wise RPMs across a vector of samples
Usage
1 | summarise_rpms(gene_ids, rpms, th_rpm = 0)
|
Arguments
gene_ids |
vector of gene ids |
rpms |
matrix of gene-wise rpms, number of rows are length(gene_ids) |
th_rpm |
numeric threshold RPM limit to binarise gene as detected (1) or not detected (0) |
Value
A data_frame with one row per gene id, columns containing number detected above th_rpm, sum_rpms by gene, mean_rpm by gene, and sd_rpm (standard deviation) by gene
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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