example_cov

<p>A list of coverage profiles for three plant samples. This is only a toy sample.
You can use it for running the examples in the vignette. We recommend using
more data to train the model, the more the better.</p>

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_cov function

<p>A list of 3 run length encoding (RLE) lists for 3 plant samples.
Each RLE list has the RLE vector of a virus segment</p>

Format

Coverage profiles of three plant samples. — example_cov

Coverage profiles of three plant samples.

example_cov: Coverage profiles of three plant samples.

Description

Usage

Arguments

Format