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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
Source PublicationCOMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE
2015
Volume2015Issue:2015Pages:275045
SubtypeArticle
AbstractThere 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.
KeywordMatrix Factorization Drug Indication Genomic Space
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
WOS KeywordTARGET ; INFERENCE
Indexed BySCI
Language英语
WOS Research AreaMathematical & Computational Biology
WOS SubjectMathematical & Computational Biology
WOS IDWOS:000355462700001
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Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/7925
Collection综合信息系统研究中心
Corresponding AuthorChen, Jianxin; Lu, Peng
Affiliation1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
2.Beijing Univ Chinese Med, Beijing 100029, Peoples R China
Recommended Citation
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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