Abstract
Multi-omics data integration is one of the major challenges in the era of precision medicine. Considerable work has been done with the advent of high-throughput studies, which have enabled the data access for downstream analyses. To improve the clinical outcome prediction, a gamut of software tools has been developed. This review outlines the progress done in the field of multi-omics integration and comprehensive tools developed so far in this field. Further, we discuss the integration methods to predict patient survival at the end of the review.
| Original language | English |
|---|---|
| Article number | 84 |
| Journal | Frontiers in Genetics |
| Volume | 8 |
| Issue number | JUN |
| DOIs | |
| State | Published - 2017 |
| Externally published | Yes |
Keywords
- Integration
- Multi-omics
- Precision medicine
- Prediction
- Prognosis
- Supervised learning
- Unsupervised learning
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