process.pred: Prediction data processing
In RedJane/tfbs.qsam: The analysis of TFBS by QSAM
Description
Usage
Arguments
Author(s)
Description
The function combines and precess primary prediction data of a few
classifications by various predefined schemes.
Usage
1
process.pred(pred, scheme = "model1+", bin, window)
Arguments
pred
predictions dataframe
scheme
processing scheme to use; possible scemes are 'model1+', 'equal.contribution'
bin
list with 3-4 sublists called 'exp', 'pro', 'reg', 'rtb' containing binary vectors where 1 corresponds to TFBS
window
window for sliding; we use a length of TFBS
Author(s)
Evgenia Temlyakova
RedJane/tfbs.qsam documentation built on May 9, 2019, 9:37 a.m.
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Description Usage Arguments Author(s)
Description
The function combines and precess primary prediction data of a few classifications by various predefined schemes.
Usage
1 | process.pred(pred, scheme = "model1+", bin, window)
|
Arguments
pred |
predictions dataframe |
scheme |
processing scheme to use; possible scemes are 'model1+', 'equal.contribution' |
bin |
list with 3-4 sublists called 'exp', 'pro', 'reg', 'rtb' containing binary vectors where 1 corresponds to TFBS |
window |
window for sliding; we use a length of TFBS |
Author(s)
Evgenia Temlyakova
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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