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iimi
View on CRAN: Click
here
Download and install iimi package within the R console
Install from CRAN:
install.packages("iimi")
Install from Github:
library("remotes")
install_github("cran/iimi") Install by package version:
library("remotes")
install_version("iimi", "1.2.2") Attach the package and use:
library("iimi")
Maintained by
Xuekui Zhang
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-03-07
Latest Update: 2024-11-01
Description:
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.
How to cite:
Xuekui Zhang (2024). iimi: Identifying Infection with Machine Intelligence. R package version 1.2.2, https://cran.r-project.org/web/packages/iimi. Accessed 05 Jun. 2026.
Previous versions and publish date:
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