Identifying module biomarker in type 2 diabetes mellitus by discriminative area of functional activity
文献类型：期刊论文
| 作者 | Zhang, XD; Gao, L; Liu, ZP; Chen, LN |
| 刊名 | BMC BIOINFORMATICS
 |
| 出版日期 | 2015 |
| 卷号 | 16期号:1页码:92-92 |
| 关键词 | Computational biology Gene expression profiling Network biomarker Type 2 diabetes mellitus |
| 通讯作者 | Gao, L (reprint author), Xidian Univ, Sch Comp Sci & Technol, Xian 710000, Peoples R China.,lgao@mail.xidian.edu.cn ; lnchen@sibs.ac.cn |
| 英文摘要 | Background: Identifying diagnosis and prognosis biomarkers from expression profiling data is of great significance for achieving personalized medicine and designing therapeutic strategy in complex diseases. However, the reproducibility of identified biomarkers across tissues and experiments is still a challenge for this issue. Results: We propose a strategy based on discriminative area of module activities to identify gene biomarkers which interconnect as a subnetwork or module by integrating gene expression data and protein-protein interactions. Then, we implement the procedure in T2DM as a case study and identify a module biomarker with 32 genes from mRNA expression data in skeletal muscle for T2DM. This module biomarker is enriched with known causal genes and related functions of T2DM. Further analysis shows that the module biomarker is of superior performance in classification, and has consistently high accuracies across tissues and experiments. Conclusion: The proposed approach can efficiently identify robust and functionally meaningful module biomarkers in T2DM, and could be employed in biomarker discovery of other complex diseases characterized by expression profiles. |
| 学科主题 | Biochemistry & Molecular Biology; Biotechnology & Applied Microbiology; Mathematical & Computational Biology |
| 类目[WOS] | Biochemical Research Methods ; Biotechnology & Applied Microbiology ; Mathematical & Computational Biology |
| 关键词[WOS] | MOLECULAR INTERACTION DATABASE ; PROTEIN-INTERACTION DATABASE ; SUPPORT VECTOR MACHINES ; INSULIN-RESISTANCE ; GENE-EXPRESSION ; CANCER ; REPOSITORY ; DISCOVERY ; CLASSIFICATION ; DIAGNOSIS |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000351818700001 |
| 版本 | 出版稿 |
| 源URL | [http://202.127.25.143/handle/331003/107]  |
| 专题 | 上海生化细胞研究所_上海生科院生化细胞研究所 |
| 推荐引用方式 GB/T 7714 | Zhang, XD,Gao, L,Liu, ZP,et al. Identifying module biomarker in type 2 diabetes mellitus by discriminative area of functional activity[J]. BMC BIOINFORMATICS,2015,16(1):92-92. |
| APA | Zhang, XD,Gao, L,Liu, ZP,&Chen, LN.(2015).Identifying module biomarker in type 2 diabetes mellitus by discriminative area of functional activity.BMC BIOINFORMATICS,16(1),92-92. |
| MLA | Zhang, XD,et al."Identifying module biomarker in type 2 diabetes mellitus by discriminative area of functional activity".BMC BIOINFORMATICS 16.1(2015):92-92. |
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