gomafunctionalenrichmentanalysistoolbasedongomodules
文献类型：期刊论文
| 作者 | Huang Qiang; Wu Lingyun ; Wang Yong; Zhang Xiangsun
|
| 刊名 | chinesejournalofcancer
 |
| 出版日期 | 2013 |
| 卷号 | 32期号:4页码:195 |
| ISSN号 | 1000-467X |
| 英文摘要 | Analyzing the function of gene sets is a critical step in interpreting the results of high-throughput experiments in systems biology. A variety of enrichment analysis tools have been developed in recent years, but most output a long list of significantly enriched terms that are often redundant, making it difficult to extract the most meaningful functions. In this paper, we present GOMA, a novel enrichment analysis method based on the new concept of enriched functional Gene Ontology (GO) modules. With this method, we systematically revealed functional GO modules, i.e., groups of functionally similar GO terms, via an optimization model and then ranked them by enrichment scores. Our new method simplifies enrichment analysis results by reducing redundancy, thereby preventing inconsistent enrichment results among functionally similar terms and providing more biologically meaningful results. |
| 语种 | 英语 |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/49423]  |
| 专题 | 应用数学研究所 |
| 作者单位 | 中国科学院数学与系统科学研究院 |
| 推荐引用方式 GB/T 7714 | Huang Qiang,Wu Lingyun,Wang Yong,et al. gomafunctionalenrichmentanalysistoolbasedongomodules[J]. chinesejournalofcancer,2013,32(4):195. |
| APA | Huang Qiang,Wu Lingyun,Wang Yong,&Zhang Xiangsun.(2013).gomafunctionalenrichmentanalysistoolbasedongomodules.chinesejournalofcancer,32(4),195. |
| MLA | Huang Qiang,et al."gomafunctionalenrichmentanalysistoolbasedongomodules".chinesejournalofcancer 32.4(2013):195. |
入库方式： OAI收割
来源：数学与系统科学研究院
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