132
Views
8
CrossRef citations to date
0
Altmetric
Articles

A new approach to detect epistasis utilizing parallel implementation of ant colony optimization by MapReduce framework

, &
Pages 511-523 | Received 28 Mar 2014, Accepted 25 Nov 2014, Published online: 23 Feb 2015

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (1)

Jun Hui Tam, Zhi Chao Ong, Zubaidah Ismail, Bee Chin Ang & Shin Yee Khoo. (2019) A new hybrid GA−ACO−PSO algorithm for solving various engineering design problems. International Journal of Computer Mathematics 96:5, pages 883-919.
Read now

Articles from other publishers (7)

Sahar I. Ghanem, Ahmed A. Ghoneim, Nagia M. Ghanem & Mohamed A. Ismail. (2020) High Performance Computing for Detecting Complex Diseases using Deep Learning. High Performance Computing for Detecting Complex Diseases using Deep Learning.
Christian Ponte-Fernández, Jorge González-Domínguez & María J Martín. (2019) Fast search of third-order epistatic interactions on CPU and GPU clusters. The International Journal of High Performance Computing Applications 34:1, pages 20-29.
Crossref
B. Jiang, M. Wang, Z. Tang, X. Du, S. Feng, G. Ma, D. Ye, H. Cheng, H. Wang & X. Liu. (2020) Genome-wide association study of bone mineral density trait among three pig breeds. Animal 14:12, pages 2443-2451.
Crossref
Yingxia Sun, Xuan Wang, Junliang Shang, Jin-Xing Liu, Chun-Hou Zheng & Xiujuan Lei. (2019) Introducing Heuristic Information into Ant Colony Optimization Algorithm for Identifying Epistasis. IEEE/ACM Transactions on Computational Biology and Bioinformatics, pages 1-1.
Crossref
Junliang Shang, Xuan Wang, Xiaoyang Wu, Yingxia Sun, Qian Ding, Jin-Xing Liu & Honghai Zhang. (2019) A Review of Ant Colony Optimization Based Methods for Detecting Epistatic Interactions. IEEE Access 7, pages 13497-13509.
Crossref
Jorge González-Domínguez & Roberto R. Expósito. 2019. Microarray Bioinformatics. Microarray Bioinformatics 227 243 .
Emmanuel Sapin, Ed Keedwell & Tim Frayling. (2015) Ant colony optimisation of decision tree and contingency table models for the discovery of gene–gene interactions. IET Systems Biology 9:6, pages 218-225.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.