reptile_train_one_mode


    <code>data.frame</code> instance from read_epigenomic_data, which containing
    intensity and intensity deviation values of each mark for each DMR
    or query region.    
  

epimark


    <code>factor</code> instance from read_label, containing the label of each
    query region. The possible values and their meanings of a label
    are: <code>0</code> (not enhancer), <code>1</code> (enhancer) and <code>NA</code>
    (unknwon and will be ignored).
  

label


    Classifier family used in the enhancer model
    Default: RandomForest
    Classifiers available:
    - RandomForest: random forest
    - Logistic: logistic regression
  

family


    Number of tree to be constructed in the random forest model. See the
    function randomForest() in "randomForest" package for more
    information.
    Default: 2000    
  

ntree


    Minimum size of terminal nodes. See the function randomForest()
    in "randomForest" package for more information.
    Default: 1
  

nodesize


  Internal function to learn a random forest classifier


Predicting regulatory DNA elements based on epigenomic signatures. This package is more of a set of building blocks than a direct solution. REPTILE regulatory prediction pipeline is built on this R package. See <https://github.com/yupenghe/REPTILE> for more information.

reptile_train_one_mode: Internal - Learn single random forest classifier

Description

Usage

Arguments

Value

References

See Also