2Agresearch Ltd (Hamilton New Zealand - Nouvelle-Zélande)
Abstract : Recently, the reconstruction of co-regulated gene network has become increasingly popular in the area of bioinformatics. It tries to find the associated information and network topology among genes through large numbers of biological data. In this paper, we proposed a novel method PC-GO by using path consistency (PC) algorithm based on gene ontology (GO). GO provides a basis for measuring the conditional semantic similarity between genes, and then PC algorithm is applied to remove links between genes with less correlation in the network. We successfully applied our algorithm to yeast data. Experimental results show that the accuracy and integrity of the co-regulated network acquired by our method outperforms previous methods.
Zhongzhi Shi; Zhaohui Wu; David Leake; Uli Sattler. 8th International Conference on Intelligent Information Processing (IIP), Oct 2014, Hangzhou, China. Springer, IFIP Advances in Information and Communication Technology, AICT-432, pp.278-283, 2014, Intelligent Information Processing VII. 〈10.1007/978-3-662-44980-6_31〉
https://hal.inria.fr/hal-01383342
Contributeur : Hal Ifip
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Soumis le : mardi 18 octobre 2016 - 14:58:10
Dernière modification le : mardi 18 octobre 2016 - 15:08:49
Hanshi Wang, Chenxiao Wang, Lizhen Liu, Chao Du, Jingli Lu. Identification of Co-regulated Gene Network by Using Path Consistency Algorithm Based on Gene Ontology. Zhongzhi Shi; Zhaohui Wu; David Leake; Uli Sattler. 8th International Conference on Intelligent Information Processing (IIP), Oct 2014, Hangzhou, China. Springer, IFIP Advances in Information and Communication Technology, AICT-432, pp.278-283, 2014, Intelligent Information Processing VII. 〈10.1007/978-3-662-44980-6_31〉. 〈hal-01383342〉
