train_ct

<p>Feature list objects from generate_feature()</p>

feature

<p>Trains two SVM models (classification and regression) to detects whether a sample is contaminated another sample of its same species.</p>

Imports Variant Calling Format file into R. It can detect
whether a sample contains contaminant from the same species.
In the first stage of the approach, a change-point detection
method is used to identify copy number variations for filtering.
Next, features are extracted from the data for a support vector
machine model. For log-likelihood calculation, the deviation
parameter is estimated by maximum likelihood method. Using
a radial basis function kernel support vector machine, the
contamination of a sample can be detected.

Tao Jiang

train_ct: Train Contamination Detection Model

Description

Usage

Arguments

Value