Linear Regression Analysis of Drug Solubility in Binary Cosolvent Systems
Published: 23 July 2025| Version 1 | DOI: 10.17632/j6b8krv99j.1
Contributors:
, , Description
This notebook presents a linear regression model to analyze drug solubility in binary cosolvent systems. It includes feature selection, multicollinearity checks, and interpretation of coefficients to evaluate the linear contribution of each experimental factor.
Files
Steps to reproduce
The dataset DatasetSolubilityDrugV1, used for training the neural network, is available at the following link: https://data.mendeley.com/datasets/g686s23sy5/1. It should be cited as: Delgado, Daniel Ricardo; Vergara, Mateo; Cardenas Torres, Rossember Edén (2025), “Database of drug solubility in cosolvent mixtures at different temperatures.”, Mendeley Data, V1, https://doi.org/10.17632/g686s23sy5.1
Institutions
- Universidad de America
- Universidad Cooperativa de Colombia
Categories
Computer Science, Chemistry, Machine Learning, Applied Computer Science, Linear Regression