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Computes the predicted differential accessibility score between the start and end of the trajectory.

Usage

# S4 method for class 'TrajectoryModel'
predict(object, peak_intervals, additional_features = NULL)

Arguments

object

An instance of TrajectoryModel.

peak_intervals

data frame, indicating the genomic positions ('chrom', 'start', 'end') of each peak to predict.

additional_features

A data frame, representing additional genomic features (e.g. CpG content, distance to TSS, etc.) for each peak. Note that NA values would be replaced with 0.

Value

A numeric vector of predicted differential accessibility scores.