getPredictionSimplifiedModelForEachGene | R Documentation |
Get predictions from estimated kinetic rates using simplified model
getPredictionSimplifiedModelForEachGene(
parameterDF,
boolCheckedInputCCTimeHasNoDuplicates = FALSE,
boolCalculateInMinutes = TRUE,
totalTimeOfOneCCInHours = 19.33,
totalTimeOfOneCCInMinutes = 19.33 * 60,
lengthToSimulatePerRoundInHours = 5,
lengthToSimulatePerRoundInMinutes = 5 * 60,
toleranceMature = 1,
maximumNumberOfPeriodsToSimulate = 10,
bytePrecisionForLargerNumbersToUse = 60
)
parameterDF |
a data frame with transcription (alpha) and degradation (gamma) rate for each gene at each cell cycle time |
boolCheckedInputCCTimeHasNoDuplicates |
logical statement (default: TRUE) |
boolCalculateInMinutes |
logical statement (default: TRUE) |
totalTimeOfOneCCInHours |
numeric total cell cycle time in hours (default: 19.33) |
totalTimeOfOneCCInMinutes |
numeric total cell cycle time in minutes (default: 19.33*60) |
lengthToSimulatePerRoundInHours |
numeric (default: 5) |
lengthToSimulatePerRoundInMinutes |
numeric (default: 5*60) |
toleranceMature |
numeric (default: 1) |
maximumNumberOfPeriodsToSimulate |
numeric (default: 10) |
bytePrecisionForLargerNumbersToUse |
numeric (default: 60) |
a data frame with predicted gene expression for both labeled and unlabeled mature RNAs at each cell cycle time.
data_predicted <- getPredictionSimplifiedModelForEachGene(parameterDF = data_rate)
p_u' = rep(NA, dim(parameterDF)[1]),
p_total' = rep(NA, dim(parameterDF)[1]),
p_u' = rep(NA, dim(parameterDF)[1]),
p_total' = rep(NA, dim(parameterDF)[1]),
p_u' = rep(NA, dim(parameterDF)[1]),
p_total' = rep(NA, dim(parameterDF)[1]),
p_u' = rep(NA, length(associatedtValuesThisLoop)),
p_total' = rep(NA, length(associatedtValuesThisLoop)),
p_u' = rep(NA, length(associatedtValuesThisLoop)),
p_total' = rep(NA, length(associatedtValuesThisLoop)),
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