tLOHCalc: Assement of evidence for LOH in clusters from spatial...
In USCDTG/tLOH: Assessment of evidence for LOH in spatial transcriptomics pre-processed data using Bayes factor calculations
tLOHCalc R Documentation
Assement of evidence for LOH in clusters from spatial transcriptomics data
Description
Calculates Bayes factors for allele fractions at each SNP position. Uses
dataframe output by tLOHDataImport
Usage
tLOHCalc(forCalcDF)
Arguments
forCalcDF
Input dataframe generated from the tLOHDataImport function
Value
Output is a dataframe with values that can be visualized with
alleleFrequencyPlot() or aggregateCHRPlot()
Author(s)
Michelle Webb
Examples
data('humanGBMsampleAC')
df <- tLOHCalc(humanGBMsampleAC)
head(df)
USCDTG/tLOH documentation built on Oct. 23, 2022, 8:05 p.m.
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.
| tLOHCalc | R Documentation |
Assement of evidence for LOH in clusters from spatial transcriptomics data
Description
Calculates Bayes factors for allele fractions at each SNP position. Uses dataframe output by tLOHDataImport
Usage
tLOHCalc(forCalcDF)
Arguments
forCalcDF |
Input dataframe generated from the tLOHDataImport function |
Value
Output is a dataframe with values that can be visualized with alleleFrequencyPlot() or aggregateCHRPlot()
Author(s)
Michelle Webb
Examples
data('humanGBMsampleAC')
df <- tLOHCalc(humanGBMsampleAC)
head(df)
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.