Scripts for GC, CRC, and IBD in Python and R

<p dir="ltr">The notebooks contain the Python codes and R used for pre-processing and the machine learning models, including XGBoost, Random Forest, and LASSO. The codes for the models used for validation as well as for cross-disease analysis and MICOM analysis are included for refer...

Full description

Saved in:

Bibliographic Details
Main Author:	Animesh Acharjee (6400427) (author)
Other Authors:	Daryll Philip (20769066) (author), Rebecca Hodgkiss (20769084) (author)
Published:	2025
Subjects:	Cancer cell biology Cancer diagnosis Data visualisation and computational (incl. parametric and generative) design Machine learning not elsewhere classified xgboost algorithm based Random Forest feature selection Abstract Background python coding metabolite activity Microbes Life R Codes microbe model data processing strategies heatmap and hierarchical clustering alpha beta and gamma diversity
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!

Scripts for GC, CRC, and IBD in Python and R

Similar Items