Comparison of pathway and gene-level models for cancer prognosis prediction

BACKGROUND: Cancer prognosis prediction is valuable for patients and clinicians because it allows them to appropriately manage care. A promising direction for improving the performance and interpretation of expression-based predictive models involves the aggregation of gene-level data into biologica...

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Detalles Bibliográficos
Autores principales: Zheng, Xingyu, Amos, Christopher I., Frost, H. Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7048092/
https://www.ncbi.nlm.nih.gov/pubmed/32111152
http://dx.doi.org/10.1186/s12859-020-3423-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7048092/
https://www.ncbi.nlm.nih.gov/pubmed/32111152
http://dx.doi.org/10.1186/s12859-020-3423-z

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