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Matrix Factorization-Based Prediction of Novel Drug Indications by Integrating Genomic Space
- Source :
- Computational and Mathematical Methods in Medicine, Vol 2015 (2015), Computational and Mathematical Methods in Medicine
- Publication Year :
- 2015
- Publisher :
- Hindawi Publishing Corporation, 2015.
-
Abstract
- 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.
- Subjects :
- Article Subject
Feature vector
Association (object-oriented programming)
Inference
Computational biology
Biology
lcsh:Computer applications to medicine. Medical informatics
Bioinformatics
Interactome
General Biochemistry, Genetics and Molecular Biology
Matrix decomposition
Set (abstract data type)
Drug Therapy
Dimension (vector space)
Humans
Disease
Models, Statistical
Models, Genetic
General Immunology and Microbiology
Applied Mathematics
Drug Repositioning
Computational Biology
General Medicine
Drug repositioning
Pharmacogenetics
Modeling and Simulation
lcsh:R858-859.7
Research Article
Subjects
Details
- Language :
- English
- ISSN :
- 1748670X
- Database :
- OpenAIRE
- Journal :
- Computational and Mathematical Methods in Medicine
- Accession number :
- edsair.doi.dedup.....4ac3399e0e6aa0c4cfd78b4eef225296
- Full Text :
- https://doi.org/10.1155/2015/275045