GENEASE: real time bioinformatics tool for multi-omics and disease ontology exploration, analysis and visualization. - Sudhir Ghandikota; Gurjit K. Khurana Hershey; Tesfaye B. Mersha (Bioinform., 2018)

A multi-context feature learning approach to identify disease-specific gene neighborhoods. - Sudhir Ghandikota; Anil G. Jegga (BCB, 2020)

MI-MAAP: marker informativeness for multi-ancestry admixed populations. - Siqi Chen; Sudhir Ghandikota; Yadu Gautam; Tesfaye B. Mersha (BMC Bioinform., 2020)

Secondary analysis of transcriptomes of SARS-CoV-2 infection models to characterize COVID-19. - Sudhir Ghandikota; Mihika Sharma; Anil G. Jegga (Patterns, 2021)

Multimodal feature learning framework for disease biomarker discovery. - Sudhir Ghandikota; Jaswanth K. Yella; Anil G. Jegga (BIBM, 2022)

GraMDTA: Multimodal Graph Neural Networks for Predicting Drug-Target Associations. - Jaswanth K. Yella; Sudhir Ghandikota; Anil G. Jegga (BIBM, 2022)