| Gene selection and enrichment for microarray data—a comparative network based approach DSK Nayak, S Mahapatra, T Swarnkar Progress in Advanced Computing and Intelligent Engineering, 417-427, 2017 | 17 | 2017 |
| Biological networks integration based on dense module identification for gene prioritization from microarray data S Mahapatra, B Mandal, T Swarnkar Gene Reports 12, 276-288, 2018 | 16 | 2018 |
| Integrated multiplex network based approach for hub gene identification in oral cancer S Mahapatra, R Bhuyan, J Das, T Swarnkar Heliyon 7 (7), 2021 | 13 | 2021 |
| A Machine Learning based Drug Recommendation System for Health Care M Mohapatra, M Nayak, S Mahapatra Graduate Research in Engineering and Technology (GRET) 1 (6), 2022 | 6 | 2022 |
| Gene Selection Using Integrative Analysis of Multi‐Level Omics Data: A Systematic Review S Mahapatra, T Swarnkar Data Analytics in Bioinformatics: A Machine Learning Perspective, 145-171, 2021 | 2 | 2021 |
| Handling Unlabeled Data in gene regulatory network S Rout, T Swarnkar, S Mahapatra, D Senapati Proceedings of the International Conference on Frontiers of Intelligent …, 2013 | 2 | 2013 |
| Deep Learning Techniques for pre-miRNA prediction: Current Challenges and Future Directions S Mohanty, S Mahapatra, T Swarnkar 2021 9th International Conference on Reliability, Infocom Technologies and …, 2021 | 1 | 2021 |
| aiGeneR 1.0: An Artificial Intelligence Technique for the Revelation of Informative and Antibiotic Resistant Genes in Escherichia coli DSK Nayak, S Mahapatra, SP Routray, S Sahoo, SK Sahoo, MM Fouda, ... Frontiers in Bioscience-Landmark 29 (2), 82, 2024 | | 2024 |
| A Systematic Review of AI Privileges to Combat Widen Threat of Flavivirus S Potluri, S Satpathy, S Mahapatra, P Nanjundan, SN Mohanty Ambient Intelligence in Health Care: Proceedings of ICAIHC 2022, 189-199, 2022 | | 2022 |
| Data Analysis in Clinical Decision Making—Prediction of Heart Attack S Prakash, S Mahapatra, M Nayak Ambient Intelligence in Health Care: Proceedings of ICAIHC 2022, 339-347, 2022 | | 2022 |
| miRNAs as Biomarkers for Breast Cancer Classification Using Machine Learning Techniques S Mohanty, S Mahapatra, T Swarnkar Intelligent and Cloud Computing: Proceedings of ICICC 2021, 555-563, 2022 | | 2022 |
| Integrative Analysis of miRNA-mRNA Expression Data to Identify miRNA-Targets for Oral Cancer S Mahapatra, R Prasath, T Swarnkar International Conference on Mining Intelligence and Knowledge Exploration, 24-32, 2021 | | 2021 |
| Deep Learning Techniques for miRNA Sequence Analysis S Mahapatra, J Das, DC Martins-Jr, T Swarnkar Advanced AI Techniques and Applications in Bioinformatics, 139-152, 2021 | | 2021 |
| Comparative Study of Computational Tools for Hub Gene Selection from Genetic Network using Microarray Data TS Bijeta Mandal, Saswati Mahapatra POLIBITS 55, 73–79, 2017 | | 2017 |
| Protein Local Structure Prediction through Improved Clustering Support Vector Machines (ICSVM). S Rout, T Swarnkar, S Mahapatra, D Senapati International Journal of Advanced Research in Computer Science 2 (6), 2011 | | 2011 |
| An Enhancement to BioPPISVMExtractor Using Multidimensional Support Vector Machine SMT Swarnkar Computer Networks and Information Technologies 142, 658-662, 2011 | | 2011 |
| Gene selection And hub gene identification Using multiomics data S Mahapatra Bhubaneswar, 0 | | |
| A Domain-Based Frequency Count Approach for Protein-Protein Interaction Prediction using Support Vector Machine S Mahapatra, T Swarnkar | | |
Tripti SwarnkarProfessor of Computer Applications, National Institute of Technology (NITRR) Raipur CGVerified email at nitrr.ac.in
