Journal of computational biology: A journal of computational molecular cell biology | |
RN+: A Novel Biclustering Algorithm for Analysis of Gene Expression Data Using Protein–Protein Interaction Network | |
HarrimKim^21  JaegyoonAhn^12  JunhyeokChoi^13  | |
[1] Address correspondence to: Dr. Jibum Kim, Department of Computer Science and Engineering, Incheon National University, Incheon 22012, South Korea^3;Department of Computer Science and Engineering, Incheon National University, Incheon, South Korea^1;Midas Information Technology, Seongnam-si, South Korea^2 | |
关键词: biclustering; gene expression; protein–protein interaction; | |
DOI : 10.1089/cmb.2019.0003 | |
学科分类:生物科学(综合) | |
来源: Mary Ann Liebert, Inc. Publishers | |
【 摘 要 】
Biclustering is a process of finding groups of genes that behave similarly under a subset of conditions. In this article, we propose an efficient biclustering algorithm, namely RN+, to identify biologically meaningful biclusters in gene expression data. The RN+ algorithm finds biologically meaningful biclusters through a novel gene filtering using protein–protein interaction network, gene searching, gene grouping, and queuing process. It also efficiently removes duplicate biclusters. We tested the proposed RN+ on five real microarray datasets, and compared its performance with seven competitive biclustering algorithms. The experimental results show that RN+ efficiently finds functionally enriched and biologically meaningful biclusters for large gene expression datasets, and outperforms the other tested biclustering algorithms on real datasets.
【 授权许可】
Unknown
【 预 览 】
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RO201910259138896ZK.pdf | 3012KB | download |