Dr. Sudipta Acharya
Dr. Sudipta Acharya
Big data institute, Shenzhen University, China
Bestätigte E-Mail-Adresse bei szu.edu.cn
Titel
Zitiert von
Zitiert von
Jahr
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
222015
Unsupervised gene selection using biological knowledge: application in sample clustering
S Acharya, S Saha, N Nikhil
BMC bioinformatics 18 (1), 1-13, 2017
182017
Multi-objective semi-supervised clustering of tissue samples for cancer diagnosis
S Saha, K Kaushik, AK Alok, S Acharya
Soft Computing 20 (9), 3381-3392, 2016
132016
Bi-clustering of microarray data using a symmetry-based multi-objective optimization framework
S Acharya, S Saha, P Sahoo
Soft Computing 23 (14), 5693-5714, 2019
112019
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
112018
Multi-objective search results clustering
S Acharya, S Saha, JG Moreno, G Dias
Proceedings of COLING 2014, the 25th International Conference on …, 2014
112014
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
102016
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
82018
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 …, 2018
82018
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
52014
Identifying co-expressed mirnas using multiobjective optimization
S Acharya, S Saha
2014 International Conference on Information Technology, 245-250, 2014
42014
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, 2020
32020
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
32017
Task petri nets for agent based computing
PD Upadhyay, S Acharya, A Dutta
INFOCOMP Journal of Computer Science 12 (1), 24-35, 2013
32013
Agent based task specific team formation for effective distributed decision making
AJ Singh, S Acharya, A Dutta
2013 10th International Conference on Electrical Engineering/Electronics …, 2013
32013
Automated Hub-Protein Detection via a New Fused Similarity Measure-Based Multi-objective Clustering Framework
S Acharya, L Cui, Y Pan
International Symposium on Bioinformatics Research and Applications, 138-145, 2019
22019
Coordination ontology for multi agent based distributed decision making
S Acharya, A Dutta
2012 2nd IEEE International Conference on Parallel, Distributed and Grid …, 2012
22012
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
12016
Use of line based symmetry for developing cluster validity indices
S Acharya, S Saha, S Bandyopadhyay
Soft Computing 20 (9), 3461-3474, 2016
12016
Multi-objective Word Sense Induction Using Content and Interlink Connections
S Acharya, A Ekbal, S Saha, P Santhanam, JG Moreno, G Dias
International Conference on Applications of Natural Language to Information …, 2016
12016
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