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MFEA: An evolutionary approach for motif finding in DNA sequences

  • Published:2020 Issue: Volume:21 Page:100466
  • ISSN:2352-9148
  • Container-title:Informatics in Medicine Unlocked
  • language:en
  • Short-container-title:Informatics in Medicine Unlocked

Author:

Ashraf Faisal Bin,Shafi Md Shafiur Raihan

Publisher

Elsevier BV

Subject

Health Informatics

Reference38 articles.

1. Ems3: an improved algorithm for finding edit-distance based motifs;Xiao,2018

2. The orientation and spacing of core dna-binding motifs dictate selective transcriptional responses to three nuclear receptors;Näär;Cell,1991

3. Exact algorithms for motif search;Rajasekaran,2005

4. Improved algorithms for finding edit distance based motifs;Pal,2015

5. An efficient method for finding repeats in molecular sequences;Martinez;Nucleic Acids Res,1983

Cited by 5 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. Exploring Scalable Parallelization for Edit Distance-Based Motif Search;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2023-03-01

2. Expectation Maximization based algorithm applied to DNA sequence motif finder;2022 IEEE Congress on Evolutionary Computation (CEC);2022-07-18

3. Towards a Better Understanding of Heuristic Approaches Applied to the Biological Motif Discovery;Intelligent Systems;2022

4. An Improved K-means Clustering Algorithm for Multi-dimensional Multi-cluster data Using Meta-heuristics;2021 24th International Conference on Computer and Information Technology (ICCIT);2021-12-18

5. An Efficient Metaheuristic Approach for Finding Motifs from DNA Sequences;2021 5th International Conference on Electrical Information and Communication Technology (EICT);2021-12-17
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