An Ensemble Approach Based on Multi-Source Information to Predict Drug-MiRNA Associations via Convolutional Neural Networks. - K. Deepthi 001; A. S. Jereesh 001 (IEEE Access, 2021)

A deep learning ensemble approach to prioritize antiviral drugs against novel coronavirus SARS-CoV-2 for COVID-19 drug repurposing. - Deepthi K. 001; Jereesh A. S. 001; Yuansheng Liu (Appl. Soft Comput., 2021)

An Ensemble Feature Selection Framework for the Early Non-invasive Prediction of Parkinson's Disease from Imbalanced Microarray Data. - Jisha Augustine; A. S. Jereesh 001 (ICACDS (2), 2022)

A Stacked Ensemble Approach For Enhancing Anti Cancer Drug Synergy Prediction. - Hafsath C. A.; A. S. Jereesh 001 (ICMLDE, 2023)

Generative Pre-trained Transformer (GPT) based model with relative attention for de novo drug design. - Suhail Haroon; Hafsath C. A.; Jereesh A. S. 001 (Comput. Biol. Chem., 2023)

Reconstruction of gene regulatory networks using graph neural networks. - Emma Paul M.; Jereesh A. S. 001; G. Santhosh Kumar (Appl. Soft Comput., 2024)

An ensemble approach for circular RNA-disease association prediction using variational autoencoder and genetic algorithm. - C. M. Salooja; Arjun Sanker; K. Deepthi 001; A. S. Jereesh 001 (J. Bioinform. Comput. Biol., 2024)