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iimi

Identifying Infection with Machine Intelligence

v1.2.2 · Dec 3, 2025 · MIT + file LICENSE

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.

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r-devel-linux-x86_64-debian-clang ERROR
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK
Check details (14 non-OK)
ERROR r-devel-linux-x86_64-debian-clang

package dependencies

Packages required but not available:
  'Biostrings', 'GenomicAlignments', 'Rsamtools'

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.
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Check History

ERROR 13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE Mar 9, 2026
ERROR r-devel-linux-x86_64-debian-clang

package dependencies

Packages required but not available:
  'Biostrings', 'GenomicAlignments', 'Rsamtools'

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.

Dependency Network

Dependencies Reverse dependencies Biostrings caret data.table dplyr GenomicAlignments IRanges mltools randomForest Rsamtools xgboost MTPS stringr R.utils Rdpack iimi

Version History

new 1.2.2 Mar 9, 2026