Literature DB >> 18006543

Gaining confidence in biological interpretation of the microarray data: the functional consistence of the significant GO categories.

Da Yang1, Yanhui Li, Hui Xiao, Qing Liu, Min Zhang, Jing Zhu, Wencai Ma, Chen Yao, Jing Wang, Dong Wang, Zheng Guo, Baofeng Yang.   

Abstract

MOTIVATION: In microarray studies, numerous tools are available for functional enrichment analysis based on GO categories. Most of these tools, due to their requirement of a prior threshold for designating genes as differentially expressed genes (DEGs), are categorized as threshold-dependent methods that often suffer from a major criticism on their changing results with different thresholds.
RESULTS: In the present article, by considering the inherent correlation structure of the GO categories, a continuous measure based on semantic similarity of GO categories is proposed to investigate the functional consistence (or stability) of threshold-dependent methods. The results from several datasets show when simply counting overlapping categories between two groups, the significant category groups selected under different DEG thresholds are seemingly very different. However, based on the semantic similarity measure proposed in this article, the results are rather functionally consistent for a wide range of DEG thresholds. Moreover, we find that the functional consistence of gene lists ranked by SAM metric behaves relatively robust against changing DEG thresholds. AVAILABILITY: Source code in R is available on request from the authors.

Mesh:

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Year:  2007        PMID: 18006543     DOI: 10.1093/bioinformatics/btm558

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  24 in total

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8.  Revealing and avoiding bias in semantic similarity scores for protein pairs.

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10.  Evaluating reproducibility of differential expression discoveries in microarray studies by considering correlated molecular changes.

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