partition_bulk_dataset: Partition bulk methylation dataset to training and test set

In andreaskapou/BPRMeth: Model higher-order methylation profiles

Description

Partition bulk methylation dataset to training and test set

Usage

partition_bulk_dataset(dt_obj, cpg_train_prcg = 0.5)

Arguments

dt_obj	BPRMeth data 'region_object' object
cpg_train_prcg	Fraction of CpGs in each genomic region to keep for training set.

Value

The BPRMeth data 'region_object' object with the following changes. The 'met' element will now contain only the 'training' data. An additional element called 'met_test' will store the data that will be used during testing to evaluate the imputation performance. These data will not be seen from BPRMeth during inference.

Author(s)

C.A.Kapourani [e-mail]

See Also

create_region_object, read_met, impute_bulk_met

Examples

# Partition the synthetic data from BPRMeth package
dt <- partition_bulk_dataset(encode_met)

andreaskapou/BPRMeth documentation built on June 11, 2020, 10:49 p.m.