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All functions

CorrectDropout()
Correcting for metabolic labeling induced RNA dropout
DissectMechanism()
Construct heatmap for non-steady state (NSS) analysis with improved mechanism score
FnPCA()
Creating PCA plots with logit(fn) estimates
FnPCA2()
Creating PCA plots with logit(fn) estimates
GS_table
Example cB data frame
GSprocessing()
Prep GRAND-SLAM output for bakRFnData
Heatmap_kdeg()
Creating a L2FC(kdeg) matrix that can be passed to heatmap functions
NSSHeat()
Construct heatmap for non-steady state (NSS) analysis
QC_checks()
Check data quality and make suggestions to user about what analyses to run.
QuantifyDropout()
Fit dropout model to quantify dropout frequency
Simulate_bakRData()
Simulating nucleotide recoding data
Simulate_relative_bakRData()
Simulating nucleotide recoding data with relative count data
TL_stan()
Fit 'Stan' models to nucleotide recoding RNA-seq data analysis
VisualizeDropout()
Visualize dropout
avg_and_regularize()
Efficiently average replicates of nucleotide recoding data and regularize
bakR-package bakR
The 'bakR' package.
bakRData()
bakR Data object helper function for users
bakRFit()
Estimating kinetic parameters from nucleotide recoding RNA-seq data
bakRFnData()
bakRFnData object helper function for users
cB_small
Example cB data frame
cBprocess()
Curate data in bakRData object for statistical modeling
fast_analysis()
Efficiently analyze nucleotide recoding data
fn_process()
Curate data in bakRFnData object for statistical modeling
fns
Example fraction news (fns) data frame
metadf
Example meatdf data frame
new_bakRData()
bakRData object constructor for internal use
new_bakRFnData()
bakRFnData object constructor for internal use
plotMA()
Creating L2FC(kdeg) MA plot from fit objects
plotVolcano()
Creating L2FC(kdeg) volcano plot from fit objects
reliableFeatures()
Identify features (e.g., transcripts) with high quality data
validate_bakRData()
bakR Data object validator
validate_bakRFnData()
bakRFnData object validator