| Integration of dense subgraph finding with feature clustering for unsupervised feature selection S Bandyopadhyay, T Bhadra, P Mitra, U Maulik Pattern Recognition Letters 40, 104-112, 2014 | 71 | 2014 |
| Unsupervised feature selection using an improved version of differential evolution T Bhadra, S Bandyopadhyay Expert Systems with Applications 42 (8), 4042-4053, 2015 | 59 | 2015 |
| Identifying epigenetic biomarkers using maximal relevance and minimal redundancy based feature selection for multi-omics data S Mallik, T Bhadra, U Maulik IEEE Transactions on Nanobioscience 16 (1), 3-10, 2017 | 46 | 2017 |
| MicroRNA transcription start site prediction with multi-objective feature selection M Bhattacharyya, L Feuerbach, T Bhadra, T Lengauer, S Bandyopadhyay Statistical applications in genetics and molecular biology 11 (1 …, 2012 | 33 | 2012 |
| Differential evolution based optimization of SVM parameters for meta classifier design T Bhadra, S Bandyopadhyay, U Maulik Procedia Technology 4, 50-57, 2012 | 33 | 2012 |
| Supervised feature selection using integration of densest subgraph finding with floating forward–backward search T Bhadra, S Bandyopadhyay Information Sciences 566, 1-18, 2021 | 31 | 2021 |
| Identification of multiview gene modules using mutual information-based hypograph mining T Bhadra, S Mallik, S Bandyopadhyay IEEE Transactions on Systems, Man, and Cybernetics: Systems 49 (6), 1119-1130, 2017 | 29 | 2017 |
| 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 |
| Comparison of five supervised feature selection algorithms leading to top features and gene signatures from multi-omics data in cancer T Bhadra, S Mallik, N Hasan, Z Zhao BMC bioinformatics 23 (Suppl 3), 153, 2022 | 25 | 2022 |
| 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 |
| DTFP-Growth: Dynamic Threshold-Based FP-Growth Rule Mining Algorithm Through Integrating Gene Expression, Methylation, and Protein–Protein Interaction Profiles S Mallik, T Bhadra, A Mukherji IEEE transactions on nanobioscience 17 (2), 117-125, 2018 | 16 | 2018 |
| Variable weighted maximal relevance minimal redundancy criterion for feature selection using normalized mutual information. S Bandyopadhyay, T Bhadra, U Maulik Journal of Multiple-Valued Logic & Soft Computing 25, 2015 | 12 | 2015 |
| DNA methylation patterns facilitate the identification of MicroRNA transcription start sites: A brain-specific study T Bhadra, M Bhattacharyya, L Feuerbach, T Lengauer, S Bandyopadhyay PloS one 8 (6), e66722, 2013 | 10 | 2013 |
| Unsupervised feature selection using an integrated strategy of hierarchical clustering with singular value decomposition: an integrative biomarker discovery method with … T Bhadra, S Mallik, A Sohel, Z Zhao IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (3 …, 2021 | 6 | 2021 |
| 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 |
| Decoding the future using a novel DNA-based cryptosystem A Kairi, T Bhadra Journal of European Chemical Bulletin 12, 3597-3609, 2023 | 4 | 2023 |
| Unsupervised feature selection using iterative shrinking and expansion algorithm T Bhadra, U Maulik IEEE Transactions on Emerging Topics in Computational Intelligence 6 (6 …, 2022 | 4 | 2022 |
| 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 Review of Computational Learning and IoT Applications to High‐Throughput Array‐Based Sequencing and Medical Imaging Data in Drug Discovery and Other Health Care Systems S Choudhuri, S Mallik, B Ghosh, T Si, T Bhadra, U Maulik, A Li Applied Smart Health Care Informatics: A Computational Intelligence …, 2022 | 3 | 2022 |
Saurav MallikResearch Scientist, University of Arizona/Harvard University (postdoc), USA在 hsph.harvard.edu 的电子邮件经过验证
