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iimi  

Identifying Infection with Machine Intelligence
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", "1.2.1")



Attach the package and use:
library("iimi")
Maintained by
Xuekui Zhang
[Scholar Profile | Author Map]
First Published: 2024-03-07
Latest Update: 2024-03-07
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 1.2.1, https://cran.r-project.org/web/packages/iimi. Accessed 01 Apr. 2025.
Previous versions and publish date:
1.0.2 (2024-03-07 11:30), 1.1.0 (2024-07-18 11:00), 1.1.1 (2024-07-26 10:20)
Other packages that cited iimi R package
View iimi citation profile
Other R packages that iimi depends, imports, suggests or enhances
Complete documentation for iimi
Functions, R codes and Examples using the iimi R package
Full iimi package functions and examples
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