example_diag

A matrix containing the known truth about the diagnostics result (using virus
database version 1.4.0) for each plant sample for the example data. It
records whether the sample is infected with a virus segment. Each column is a
sample, and each row is a virus segment's diagnostics status for three samples.

datasets

A novel machine learning method for plant viruses diagnostic using
genome sequencing data. This package includes three different machine
learning models, random forest, XGBoost, and elastic net, to train and
predict mapped genome samples. Mappability profile and unreliable regions
are introduced to the algorithm, and users can build a mappability profile
from scratch with functions included in the package. Plotting mapped sample
coverage information is provided.

Xuekui Zhang

iimi

Identifying Infection with Machine Intelligence

Haochen Ning

Ian Boyes

Ibrahim Numanagić

Michael Rott

Li Xing

example_diag function

A matrix with 3 columns:<dl>
<dt>S1</dt>
<dd>Sample one</dd><dt>S2</dt>
<dd>Sample two</dd><dt>S3</dt>
<dd>Sample three</dd>
</dl>

Format

Known diagnostics result of virus segments — example_diag

A matrix with 3 columns:<dl>
<dt>S1</dt>
<dd>Sample one</dd>

<dt>S2</dt>
<dd>Sample two</dd>

<dt>S3</dt>
<dd>Sample three</dd>


</dl>

example_diag: Known diagnostics result of virus segments

Description

Usage

Arguments

Format