Matrix Factorization-Based Prediction of Novel Drug Indications by Integrating Genomic Space
文献类型:期刊论文
作者 | Dai, Wen1; Liu, Xi1; Gao, Yibo1![]() ![]() ![]() ![]() ![]() |
刊名 | COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE
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出版日期 | 2015 |
英文摘要 | 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. |
WOS标题词 | Science & Technology ; Life Sciences & Biomedicine |
类目[WOS] | Mathematical & Computational Biology |
研究领域[WOS] | Mathematical & Computational Biology |
关键词[WOS] | TARGET ; INFERENCE |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000355462700001 |
公开日期 | 2015-09-22 |
源URL | [http://ir.ia.ac.cn/handle/173211/7925] ![]() |
专题 | 自动化研究所_综合信息系统研究中心 |
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 |
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. |
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. |
MLA | Dai, Wen,et al."Matrix Factorization-Based Prediction of Novel Drug Indications by Integrating Genomic Space".COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE (2015). |
入库方式: OAI收割
来源:自动化研究所
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