Big DNA datasets analysis under push down automata-Reference-Cited by-同舟云学术

Big DNA datasets analysis under push down automata

Published:2018-08-26 Issue:2 Volume:35 Page:1555-1565
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Kamal Md. S.¹,Trivdedi Munesh C.²,Alam Jannat B.¹,Dey Nilanjan³,Ashour Amira S.⁴,Shi Fuqian⁵,Tavares João Manuel R.S.⁶

Affiliation:

1. Department of Computer Science and Engineering, East West University Bangladesh, Bangladesh

2. Department of Information Technology and Engineering, REC, Azamgarh, UP, India

3. Department of Information Technology, Techno India College of Technology, West Bengal, India

4. Department of Electronics and Electrical Communications Engineering, Faculty of Engineering, Tanta University, Egypt

5. College of Information and Engineering, Wenzhou Medical University, Wenzhou, PR China

6. Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial, Departamento de Engenharia Mecânica, Faculdade de Engenharia, Universidade do Porto, Portugal

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference36 articles.

1. Automated data partitioning for highly scalable and strongly consistent transactions;Turcu;IEEE Transactions on Parallel and Distributed Systems,2016

2. Predicting hub genes associated with cervical cancer through gene co-expression networks;Deng;IEEE/ACM Transactions on Computational Biology and Bioinformatics,2016

3. A faster cDNA microarray gene expression data classifier for diagnosing diseases;Hsieh;IEEE/ACM Transactions on Computational Biology and Bioinformatics,2016

4. Prediction of growth factor-dependent cleft formation during branching morphogenesis using a dynamic graph-based growth model;Dhulekar;IEE/ACM Transactions On Computational Biology And Bioinformatics,2016

5. INFFC: An iterative class noise filter based on the fusion of classifiers with noise sensitivity control;Saez;Information Fusion,2016

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Framework to Evaluate and Classify the Clinical-Level EEG Signals with Epilepsy;Proceedings of International Conference on Data Science and Applications;2020-10-30

2. Emotions Recognition and Signal Classification;International Journal of Synthetic Emotions;2020-01