Unsupervised gene selection using biological knowledge: application in sample clustering S Acharya, S Saha, N Nikhil BMC bioinformatics 18, 1-13, 2017 | 33 | 2017 |
Multiobjective simulated annealing-based clustering of tissue samples for cancer diagnosis S Acharya, S Saha, Y Thadisina IEEE journal of biomedical and health informatics 20 (2), 691-698, 2015 | 30 | 2015 |
Bi-clustering of microarray data using a symmetry-based multi-objective optimization framework S Acharya, S Saha, P Sahoo Soft Computing 23, 5693-5714, 2019 | 23 | 2019 |
Multi-objective semi-supervised clustering of tissue samples for cancer diagnosis S Saha, K Kaushik, AK Alok, S Acharya Soft Computing 20, 3381-3392, 2016 | 20 | 2016 |
Multi-objective search results clustering S Acharya, S Saha, JG Moreno, G Dias 25th international conference on computational linguistics (coling 2014), 99-108, 2014 | 16 | 2014 |
MMCO-Clus–an evolutionary co-clustering algorithm for gene selection L Cui, S Acharya, S Mishra, Y Pan, JZ Huang IEEE Transactions on Knowledge and Data Engineering 34 (9), 4371-4384, 2022 | 14 | 2022 |
Fusion of stability and multi-objective optimization for solving cancer tissue classification problem S Mitra, S Saha, S Acharya Expert Systems with Applications 113, 377-396, 2018 | 12 | 2018 |
Multi-view feature selection for identifying gene markers: a diversified biological data driven approach S Acharya, L Cui, Y Pan BMC bioinformatics 21, 1-31, 2020 | 11 | 2020 |
Novel symmetry-based gene-gene dissimilarity measures utilizing Gene Ontology: Application in gene clustering S Acharya, S Saha, P Pradhan Gene 679, 341-351, 2018 | 11 | 2018 |
Multi-factored gene-gene proximity measures exploiting biological knowledge extracted from gene ontology: application in gene clustering S Acharya, S Saha, P Pradhan IEEE/ACM transactions on computational biology and bioinformatics 17 (1 …, 2020 | 10 | 2020 |
Importance of proximity measures in clustering of cancer and mirna datasets: proposal of an automated framework S Acharya, S Saha Molecular BioSystems 12 (11), 3478-3501, 2016 | 10 | 2016 |
Simultaneous clustering and feature weighting using multiobjective optimization for identifying functionally similar mirnas S Saha, S Acharya, K Kavya, S Miriyala IEEE Journal of Biomedical and Health Informatics 22 (5), 1684-1690, 2017 | 7 | 2017 |
A refined 3-in-1 fused protein similarity measure: application in threshold-free hub detection S Acharya, L Cui, Y Pan IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (1 …, 2022 | 6 | 2022 |
Cancer tissue sample classification using point symmetry-based clustering algorithm S Acharya, S Saha International Journal of Humanitarian Technology 1 (1), 19-39, 2018 | 6 | 2018 |
Occurrence and duration modeling of sentence medial pause for Bangla text reading at different speech rate S Acharya, SKD Mandal 2012 International Conference on Speech Database and Assessments, 62-67, 2012 | 6 | 2012 |
Automatic generation of biclusters from gene expression data using multi-objective simulated annealing approach P Sahoo, S Acharya, S Saha 2016 23rd International Conference on Pattern Recognition (ICPR), 2174-2179, 2016 | 5 | 2016 |
Multi-objective clustering of tissue samples for cancer diagnosis S Acharya, Y Thadisina, S Saha 2014 International Conference on Advances in Computing, Communications and …, 2014 | 5 | 2014 |
TDRLM: Stylometric learning for authorship verification by Topic-Debiasing X Hu, W Ou, S Acharya, SHH Ding, R D’Gama, H Yu Expert Systems with Applications 233, 120745, 2023 | 4 | 2023 |
A consensus multi-view multi-objective gene selection approach for improved sample classification S Acharya, L Cui, Y Pan BMC bioinformatics 21, 1-16, 2020 | 4 | 2020 |
Identifying co-expressed mirnas using multiobjective optimization S Acharya, S Saha 2014 International Conference on Information Technology, 245-250, 2014 | 4 | 2014 |