A Gene Pathway Enrichment Method Based on Improved TF-IDF Algorithm

Author:

Xu Shutan1,Leng Yinhui1,Feng Guofu1,Zhang Chenjing1,Chen Ming1

Affiliation:

1. Shanghai Ocean University

Abstract

Abstract Gene pathway enrichment analysis is a widely used method to analyze whether a gene set is statistically enriched on certain biological pathway network. Current gene pathway enrichment methods commonly consider local importance of genes in pathways without considering the interactions between genes. In this paper, we propose a gene pathway enrichment method (GIGSEA) based on improved TF-IDF algorithm. This method employs gene interaction data to calculate the influence of genes based on the local importance in a pathway as well as the global specificity. Computational experiment result shows that, compared with traditional gene set enrichment analysis method, our proposed method in this paper can find more specific enriched pathways related to phenotype with higher efficiency.

Publisher

Research Square Platform LLC

Reference27 articles.

1. Differential expression analysis for pathways;Haynes WA;PLoS Computational Biology,2013

2. Ten Years of Pathway Analysis: Current Approaches and Outstanding Challenges[J];Khatri P;Plos Computational Biology,2012

3. Wang X, Yin T S, Boyi L I, et al. Progress in Gene Functional Enrichment Analysis[J]. Scientia Sinica(Vitae), 2016

4. Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles[J];Subramanian A;Proceedings of the National Academy of Sciences of the United States of America,2005

5. On testing the significance of sets of genes[J];Ef Ron B;Annals of Applied Statistics,2007

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