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...

Descripción completa

Detalles Bibliográficos
Autores principales: Mihaylov, Iliyan, Kańduła, Maciej, Krachunov, Milko, Vassilev, Dimitar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
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

Internet

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

Ejemplares similares