View source: R/rifi_fragmentation.r View source: R/.ipynb_checkpoints/rifi_fragmentation-checkpoint.r
rifi_fragmentation | R Documentation |
rifi_fragmentation wraps conveniently all fragmentation steps
rifi_fragmentation is wrapper of the following functions:
fragment_delay
fragment_HL
fragment_inty
TUgether
fragment_TI
rifi_fragmentation(
inp,
cores = 1,
pen_delay = NULL,
pen_out_delay = NULL,
pen_HL = NULL,
pen_out_HL = NULL,
pen_inty = NULL,
pen_out_inty = NULL,
pen_TU = NULL,
pen_TI = NULL,
pen_out_TI = NULL
)
inp |
SummarizedExperiment: the input data frame with correct format. |
cores |
integer: the number of assigned cores for the task. |
pen_delay |
numeric: an internal parameter for the dynamic programming. Higher values result in fewer fragments. Default is the auto generated value. |
pen_out_delay |
numeric: an internal parameter for the dynamic programming. Higher values result in fewer allowed outliers. Default is the auto generated value. |
pen_HL |
numeric: an internal parameter for the dynamic programming. Higher values result in fewer fragments. Default is the auto generated value. |
pen_out_HL |
numeric: an internal parameter for the dynamic programming. Higher values result in fewer allowed outliers. Default is the auto generated value. |
pen_inty |
numeric: an internal parameter for the dynamic programming. Higher values result in fewer fragments. Default is the auto generated value. |
pen_out_inty |
numeric: an internal parameter for the dynamic programming. Higher values result in fewer allowed outliers. Default is the auto generated value. |
pen_TU |
numeric: an internal parameter for the dynamic programming. Higher values result in fewer fragments. Default -0.75. |
pen_TI |
numeric: an internal parameter for the dynamic programming. Higher values result in fewer fragments. Default is the auto generated value. |
pen_out_TI |
numeric: an internal parameter for the dynamic programming. Higher values result in fewer allowed outliers. Default is the auto generated value. |
the SummarizedExperiment object: with delay_fragment, HL_fragment, intensity_fragment, TI_termination_fragment and TU, and the respective values added to the rowRanges.
fragment_delay
fragment_HL
fragment_inty
TUgether
fragment_TI
data(penalties_minimal)
rifi_fragmentation(inp = penalties_minimal, cores = 2)
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