A novel framework for horizontal and vertical data integration in cancer studies with application to survival time prediction models
Abstract Background Recently high-throughput technologies have been massively used alongside clinical tests to study various types of cancer. Data generated in such large-scale studies are heterogeneous, of different types and formats. With lack of effective integration strategies novel models are n...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2019-11-01
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| Series: | Biology Direct |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13062-019-0249-6 |