Can Survival Prediction Be Improved By Merging Gene Expression Data Sets?

BACKGROUND: High-throughput gene expression profiling technologies generating a wealth of data, are increasingly used for characterization of tumor biopsies for clinical trials. By applying machine learning algorithms to such clinically documented data sets, one hopes to improve tumor diagnosis, pro...

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Detalles Bibliográficos
Autores principales: Yasrebi, Haleh, Sperisen, Peter, Praz, Viviane, Bucher, Philipp
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2009
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2761544/
https://www.ncbi.nlm.nih.gov/pubmed/19851466
http://dx.doi.org/10.1371/journal.pone.0007431

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2761544/
https://www.ncbi.nlm.nih.gov/pubmed/19851466
http://dx.doi.org/10.1371/journal.pone.0007431

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