| A linear regression and deep learning approach for detecting reliable genetic alterations in cancer using dna methylation and gene expression data S Mallik, S Seth, T Bhadra, Z Zhao Genes 11 (8), 931, 2020 | 27 | 2020 |
| Dimensionality reduction and louvain agglomerative hierarchical clustering for cluster-specified frequent biomarker discovery in single-cell sequencing data S Seth, S Mallik, T Bhadra, Z Zhao Frontiers in Genetics 13, 828479, 2022 | 21 | 2022 |
| Social network analysis to detect inherent communities based on constraints D Bhattacharyya, S Seth, T Kim Appl. Math 8 (1L), 385-396, 2014 | 7 | 2014 |
| Constraint-Based Clustering to Find Communities in a social network S Seth, D Bhattacharyya, TH Kim Proc. International Conference on Information Science and Industrial …, 2012 | 6 | 2012 |
| Multi-objective optimization approaches in biological learning system on microarray data S Mallik, T Bhadra, S Seth, S Bandyopadhyay, J Chen Multi-Objective Optimization: Evolutionary to Hybrid Framework, 159-180, 2018 | 5 | 2018 |
| Identifying genetic signatures from single-cell rna sequencing data by matrix imputation and reduced set gene clustering S Seth, S Mallik, A Islam, T Bhadra, A Roy, PK Singh, A Li, Z Zhao Mathematics 11 (20), 4315, 2023 | 4 | 2023 |
| A robust framework for socially responsive services: A constraint-based social network representation KN Singh, C Misra, S Seth, SK Mandal, B Kumar Innovations in Soft Computing and Information Technology: Proceedings of …, 2019 | 4 | 2019 |
| CBACCN: Constraint based community discovery in complex networks S Seth, D Bhattacharyya, K Tai-hoon International Journal of Applied Engineering Research 9 (23), 18115-18127, 2014 | 4 | 2014 |
| Feature Selection, Clustering and IoMT on Biomedical Engineering for COVID-19 Pandemic: A Comprehensive Review A Islam, S Seth, T Bhadra, S Mallik, A Roy, A Li, M Sarkar Journal of Data Science and Intelligent Systems, 2023 | 3 | 2023 |
| A Multi-classifier Model to Identify Mitochondrial Respiratory Gene Signatures in Human Cancer S Mallik, S Seth, T Bhadra, N Tomar, Z Zhao 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 3 | 2019 |
| A framework for social service volunteers: a social network representation KN Singh, C Misra, S Seth, JK Mantri, SR Dash International Journal of Pure and Applied Mathematics 114 (10), 11-23, 2017 | 3 | 2017 |
| CBACCN: Constraint Based Community Discovery in Complex Network S Seth, D Bhattacharyya, T Kim International Journal of Applied Engineering Research ISSN, 0973-4562, 2014 | 3 | 2014 |
| DeMoS: Dense Module based Gene Signature Detection through Quasi-Clique: An Application to Cervical Cancer Prognosis S Saha, S Mallik, S Bandyopadhyay | 1 | 2020 |
| Landscape of Next Generation Sequencing Using Pattern Recognition: Performance Analysis and Applications S Mallik, L Gaur, S Seth, T Bhadra, M Wang CRC Press, 2024 | | 2024 |
| A review on advancements in feature selection and feature extraction for high-dimensional NGS data analysis K Borah, HS Das, S Seth, K Mallick, Z Rahaman, S Mallik Functional & Integrative Genomics 24 (5), 139, 2024 | | 2024 |
| 1 Introduction: Fundamentals of Next-Generation Sequencing, Pattern Recognition, and Biomedical Images S Mallik, L Gaur, S Seth, T Bhadra, M Wang River Publishers, 2024 | | 2024 |
| 7 Conclusions and Scope for Further Research S Mallik, L Gaur, S Seth, T Bhadra, M Wang River Publishers, 2024 | | 2024 |
| 6 Integrating Deep Learning and Next-Generation Medical Image Data for Rare Disease Stage Detection S Mallik, L Gaur, S Seth, T Bhadra, M Wang River Publishers, 2024 | | 2024 |
| 4 Dimensionality Reduction, Clustering and Biomarkers Discovery on Single-cell RNA-seq Data S Mallik, L Gaur, S Seth, T Bhadra, M Wang River Publishers, 2024 | | 2024 |
| 3 Multi-objective Optimization-based Association Rule Mining Integral Approach for Optimal Ranking and Directional Signature Classification of Multi-omics Data S Mallik, L Gaur, S Seth, T Bhadra, M Wang River Publishers, 2024 | | 2024 |
Saurav MallikResearch Scientist, University of Arizona/Harvard University (postdoc), USA在 hsph.harvard.edu 的电子邮件经过验证
