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A novel framework for horizontal and vertical data integration in cancer studies with application to survival time prediction models
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 necessary...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6868770/ https://www.ncbi.nlm.nih.gov/pubmed/31752974 http://dx.doi.org/10.1186/s13062-019-0249-6 |