| Towards a comprehensive pipeline to identify and functionally annotate long noncoding RNA (lncRNA) Y Ramakrishnaiah, L Kuhlmann, S Tyagi Computers in Biology and Medicine 127, 104028, 2020 | 21 | 2020 |
| EHR-QC: A streamlined pipeline for automated electronic health records standardisation and preprocessing to predict clinical outcomes Y Ramakrishnaiah, N Macesic, GI Webb, AY Peleg, S Tyagi Journal of Biomedical Informatics 147, 104509, 2023 | 5 | 2023 |
| linc2function: A deep learning model to identify and assign function to long noncoding RNA (lncRNA) Y Ramakrishnaiah, L Kuhlmann, S Tyagi bioRxiv, 2021.01. 29.428785, 2021 | 4 | 2021 |
| Linc2function: A Comprehensive Pipeline and Webserver for Long Non-Coding RNA (lncRNA) Identification and Functional Predictions Using Deep Learning Approaches Y Ramakrishnaiah, AP Morris, J Dhaliwal, M Philip, L Kuhlmann, S Tyagi Epigenomes 7 (3), 22, 2023 | 1 | 2023 |
| Computational approaches to functionally annotate long noncoding RNA (lncRNA) Y Ramakrishnaiah, L Kuhlmann, S Tyagi Preprints, 2020 | 1 | 2020 |
| EHR-ML: A generalisable pipeline for reproducible clinical outcomes using electronic health records Y Ramakrishnaiah, N Macesic, G Webb, A Peleg, S Tyagi medRxiv, 2024.03. 02.24302664, 2024 | | 2024 |
Sonika TyagiAssociate Professor, School of Computing Technologies, RMIT UniversityAdresse e-mail validée de rmit.edu.au
