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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
被引频次:53[WOS]   [WOS记录]     [WOS相关记录]
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
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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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