Paper on snoRNA-disease association prediction published in Computers in Biology and Medicine!

GBDTSVM: Combined Support Vector Machine and Gradient Boosting Decision Tree Framework for efficient snoRNA-disease association prediction

Excited to share our latest research published in Computers in Biology and Medicine (Q1)!

Our paper introduces GBDTSVM, a novel machine learning framework that efficiently predicts snoRNA-disease associations by integrating Gradient Boosting Decision Trees (GBDT) and Support Vector Machines (SVM). With superior performance on multiple datasets, this model offers a powerful tool for advancing snoRNA-related disease research.

Check out the full paper and source code here: Paper Link: https://doi.org/10.1016/j.compbiomed.2025.110219

Source Code:

https://github.com/mariamuna04/gbdtsvm

Congrats and grateful to my authors Ummay Maria Muna, and our supervisor, Riasat Azim!