Integrating biological knowledge and gene expression data using pathway-guided random forests: a benchmarking study

MOTIVATION: High-throughput technologies allow comprehensive characterization of individuals on many molecular levels. However, training computational models to predict disease status based on omics data is challenging. A promising solution is the integration of external knowledge about structural a...

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Detalles Bibliográficos
Autores principales: Seifert, Stephan, Gundlach, Sven, Junge, Olaf, Szymczak, Silke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7520048/
https://www.ncbi.nlm.nih.gov/pubmed/32399562
http://dx.doi.org/10.1093/bioinformatics/btaa483

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7520048/
https://www.ncbi.nlm.nih.gov/pubmed/32399562
http://dx.doi.org/10.1093/bioinformatics/btaa483

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