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The LiverToxQSAR package provides computational models for predicting hepatotoxicity of chemical compounds using quantitative structure-activity relationship (QSAR) methods. It integrates chemical structure data with machine learning algorithms to assess liver toxicity risk in drug development and toxicology research.

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LICENSE.md
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aminuldu07/LiverToxQSAR

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LiverToxQSAR

The goal of LiverToxQSAR is to …

Installation

You can install the development version of LiverToxQSAR from GitHub with:

# install.packages("devtools")
devtools::install_github("aminuldu07/LiverToxQSAR")

Example

This is a basic example which shows you how to solve a common problem:

library(LiverToxQSAR)
## basic example code

What is special about using README.Rmd instead of just README.md? You can include R chunks like so:

summary(cars)
#>      speed           dist       
#>  Min.   : 4.0   Min.   :  2.00  
#>  1st Qu.:12.0   1st Qu.: 26.00  
#>  Median :15.0   Median : 36.00  
#>  Mean   :15.4   Mean   : 42.98  
#>  3rd Qu.:19.0   3rd Qu.: 56.00  
#>  Max.   :25.0   Max.   :120.00

You’ll still need to render README.Rmd regularly, to keep README.md up-to-date. devtools::build_readme() is handy for this.

You can also embed plots, for example:

In that case, don’t forget to commit and push the resulting figure files, so they display on GitHub and CRAN.

About

The LiverToxQSAR package provides computational models for predicting hepatotoxicity of chemical compounds using quantitative structure-activity relationship (QSAR) methods. It integrates chemical structure data with machine learning algorithms to assess liver toxicity risk in drug development and toxicology research.

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License

Unknown, MIT licenses found

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Unknown
LICENSE
MIT
LICENSE.md

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