Identification of Candidate Genes Related to Inflammatory Bowel Disease Using Minimum Redundancy Maximum Relevance, Incremental Feature Selection, and the Shortest-Path Approach
文献类型：期刊论文
| 作者 | Yuan, Fei3; Zhang, Yu-Hang1; Kong, Xiang-Yin1; Cai, Yu-Dong2; , |
| 刊名 | BIOMED RESEARCH INTERNATIONAL
 |
| 出版日期 | 2017 |
| 卷号 | -期号:-页码:5741948 |
| 关键词 | Drug-drug interaction chemical interaction chemical structure similarity nearest neighbor algorithm majority voting imbalanced dataset |
| ISSN号 | 2314-6133 |
| DOI | 10.1155/2017/5741948 |
| 文献子类 | Article |
| 英文摘要 | Identification of disease genes is a hot topic in biomedicine and genomics. However, it is a challenging problem because of the complexity of diseases. Inflammatory bowel disease (IBD) is an idiopathic disease caused by a dysregulated immune response to host intestinal microflora. It has been proven to be associated with the development of intestinal malignancies. Although the specific pathological characteristics and genetic background of IBD have been partially revealed, it is still an overdetermined disease and the blueprint of all genetic variants still needs to be improved. In this study, a novel computational method was built to identify genes related to IBD. Samples from two subtypes of IBD (ulcerative colitis and Crohn's disease) and normal samples were employed. By analyzing the gene expression profiles of these samples using minimum redundancy maximum relevance and incremental feature selection, 21 genes were obtained that could effectively distinguish samples from the two subtypes of IBD and the normal samples. Then, the shortest-path approach was used to search for an additional 20 genes in a large network constructed using protein-protein interactions based on the above-mentioned 21 genes. Analyses of the 41 genes obtained indicate that they are closely associated with this disease. |
| 学科主题 | Biotechnology & Applied Microbiology ; Research & Experimental Medicine |
| WOS关键词 | POTENTIAL THERAPEUTIC TARGETS ; PROTEIN-PROTEIN INTERACTIONS ; INTESTINAL EPITHELIAL-CELLS ; CROHNS-DISEASE ; ULCERATIVE-COLITIS ; T-CELL ; SACCHAROMYCES-CEREVISIAE ; PLASMINOGEN-ACTIVATOR ; EXTRAINTESTINAL MANIFESTATIONS ; GASTROINTESTINAL MOTILITY |
| 语种 | 英语 |
| WOS记录号 | WOS:000395168800001 |
| 出版者 | HINDAWI LTD |
| 版本 | 出版稿 |
| 源URL | [http://202.127.25.144/handle/331004/1143]  |
| 专题 | 中国科学院上海生命科学研究院营养科学研究所 |
| 作者单位 | 1.Chinese Acad Sci, Shanghai Inst Biol Sci, Inst Hlth Sci, Shanghai 200031, Peoples R China; 2.Shanghai Univ, Sch Life Sci, Shanghai 200444, Peoples R China, 3.Binzhou Med Univ Hosp, Dept Sci & Technol, Binzhou 256603, Shandong, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Yuan, Fei,Zhang, Yu-Hang,Kong, Xiang-Yin,et al. Identification of Candidate Genes Related to Inflammatory Bowel Disease Using Minimum Redundancy Maximum Relevance, Incremental Feature Selection, and the Shortest-Path Approach[J]. BIOMED RESEARCH INTERNATIONAL,2017,-(-):5741948. |
| APA | Yuan, Fei,Zhang, Yu-Hang,Kong, Xiang-Yin,Cai, Yu-Dong,&,.(2017).Identification of Candidate Genes Related to Inflammatory Bowel Disease Using Minimum Redundancy Maximum Relevance, Incremental Feature Selection, and the Shortest-Path Approach.BIOMED RESEARCH INTERNATIONAL,-(-),5741948. |
| MLA | Yuan, Fei,et al."Identification of Candidate Genes Related to Inflammatory Bowel Disease Using Minimum Redundancy Maximum Relevance, Incremental Feature Selection, and the Shortest-Path Approach".BIOMED RESEARCH INTERNATIONAL -.-(2017):5741948. |
入库方式： OAI收割
来源：上海营养与健康研究所
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