A High-Performance Computing Implementation of Iterative Random Forest for the Creation of Predictive Expression Networks

As time progresses and technology improves, biological data sets are continuously increasing in size. New methods and new implementations of existing methods are needed to keep pace with this increase. In this paper, we present a high-performance computing (HPC)-capable implementation of Iterative R...

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Detalles Bibliográficos
Autores principales: Cliff, Ashley, Romero, Jonathon, Kainer, David, Walker, Angelica, Furches, Anna, Jacobson, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6947651/
https://www.ncbi.nlm.nih.gov/pubmed/31810264
http://dx.doi.org/10.3390/genes10120996

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6947651/
https://www.ncbi.nlm.nih.gov/pubmed/31810264
http://dx.doi.org/10.3390/genes10120996

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