prepareHMMdataframes: Prepare dataframes for HMM analysis
In USCDTG/tLOH: Assessment of evidence for LOH in spatial transcriptomics pre-processed data using Bayes factor calculations
prepareHMMdataframes R Documentation
Prepare dataframes for HMM analysis
Description
Split output from tLOHCalc or tLOHCalcUpdate into a list of cluster and chromosome separated dataframes. Applies an ordered quantile normalization on the bayes factor K values in each dataset.
Usage
prepareHMMdataframes(importedData)
Arguments
importedData
Input dataframe generated from the tLOHCalc or tLOHCalcUpdate function
Value
Output is a list of dataframes separated by chromosome and cluster
Author(s)
Michelle Webb
Examples
data('humanGBMsampleAC')
df <- tLOHCalcUpdate(humanGBMsampleAC,1.25,1.25,500,500,4)
output <- prepareHMMdataframes(df)
USCDTG/tLOH documentation built on Oct. 23, 2022, 8:05 p.m.
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| prepareHMMdataframes | R Documentation |
Prepare dataframes for HMM analysis
Description
Split output from tLOHCalc or tLOHCalcUpdate into a list of cluster and chromosome separated dataframes. Applies an ordered quantile normalization on the bayes factor K values in each dataset.
Usage
prepareHMMdataframes(importedData)
Arguments
importedData |
Input dataframe generated from the tLOHCalc or tLOHCalcUpdate function |
Value
Output is a list of dataframes separated by chromosome and cluster
Author(s)
Michelle Webb
Examples
data('humanGBMsampleAC')
df <- tLOHCalcUpdate(humanGBMsampleAC,1.25,1.25,500,500,4)
output <- prepareHMMdataframes(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.
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