中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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; Chen, Lin1; Song, Jianglong1; Chen, Di1; Gao, Kuo2; Jiang, Yongshi1; Yang, Yiping1; Chen, Jianxin2
刊名COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE
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

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。