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Machine learning models to predict olfactory receptor functions from sequence alignment

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OlfactoryReceptors

Machine learning prediction of olfactory receptor (OR) functions from the sequence alignment

Workflow

A Jupyter notebook and the output .html demonstrate the workflow of predicting OR responses to odorants:

  • Response_to_odorants.ipynb
  • Response_to_odorants.html

Prerequisites

R version 3.5 or higher R packages:

  • caret

  • MLmetics

  • e1071

  • bio3d

  • stringr

  • ggpubr

  • ggplot2

  • gridExtra

To install the above packages for Jupyter, use Conda, e.g.

conda install r-MLmetrics
conda install -c conda-forge r-ggpubr
...

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Machine learning models to predict olfactory receptor functions from sequence alignment

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