Matrix Factorization-Based Prediction of Novel Drug Indications by Integrating Genomic Space | |
Dai, Wen1; Liu, Xi1; Gao, Yibo1; Chen, Lin1; Song, Jianglong1; Chen, Di1; Gao, Kuo2; Jiang, Yongshi1; Yang, Yiping1; Chen, Jianxin2; Lu, Peng1 | |
发表期刊 | COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE |
2015 | |
卷号 | 2015期号:2015页码:275045 |
文章类型 | Article |
摘要 | There has been rising interest in the discovery of novel drug indications because of high costs in introducing new drugs. Many computational techniques have been proposed to detect potential drug-disease associations based on the creation of explicit profiles of drugs and diseases, while seldom research takes advantage of the immense accumulation of interaction data. In this work, we propose a matrix factorization model based on known drug-disease associations to predict novel drug indications. In addition, genomic space is also integrated into our framework. The introduction of genomic space, which includes drug-gene interactions, disease-gene interactions, and gene-gene interactions, is aimed at providing molecular biological information for prediction of drug-disease associations. The rationality lies in our belief that association between drug and disease has its evidence in the interactome network of genes. Experiments show that the integration of genomic space is indeed effective. Drugs, diseases, and genes are described with feature vectors of the same dimension, which are retrieved from the interaction data. Then a matrix factorization model is set up to quantify the association between drugs and diseases. Finally, we use the matrix factorization model to predict novel indications for drugs. |
关键词 | Matrix Factorization Drug Indication Genomic Space |
WOS标题词 | Science & Technology ; Life Sciences & Biomedicine |
关键词[WOS] | TARGET ; INFERENCE |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Mathematical & Computational Biology |
WOS类目 | Mathematical & Computational Biology |
WOS记录号 | WOS:000355462700001 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/7925 |
专题 | 综合信息系统研究中心 |
通讯作者 | Chen, Jianxin; Lu, Peng |
作者单位 | 1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 2.Beijing Univ Chinese Med, Beijing 100029, Peoples R China |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Dai, Wen,Liu, Xi,Gao, Yibo,et al. Matrix Factorization-Based Prediction of Novel Drug Indications by Integrating Genomic Space[J]. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE,2015,2015(2015):275045. |
APA | Dai, Wen.,Liu, Xi.,Gao, Yibo.,Chen, Lin.,Song, Jianglong.,...&Lu, Peng.(2015).Matrix Factorization-Based Prediction of Novel Drug Indications by Integrating Genomic Space.COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE,2015(2015),275045. |
MLA | Dai, Wen,et al."Matrix Factorization-Based Prediction of Novel Drug Indications by Integrating Genomic Space".COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2015.2015(2015):275045. |
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