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

Cliff, Ashley; Romero, Jonathon; Kainer, David; Walker, Angelica; Furches, Anna; Jacobson, Daniel

Cliff, Ashley; Romero, Jonathon; Kainer, David; Walker, Angelica; Furches, Anna; Jacobson, Daniel.

Afiliación

Cliff A; Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee Knoxville, Knoxville, TN 37996, USA.
Romero J; Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA.
Kainer D; Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee Knoxville, Knoxville, TN 37996, USA.
Walker A; Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA.
Furches A; Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA.
Jacobson D; Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee Knoxville, Knoxville, TN 37996, USA.

Genes (Basel) ; 10(12)2019 12 02.

Article en En | MEDLINE | ID: mdl-31810264

Asunto(s)

Algoritmos; Simulación por Computador; Modelos Genéticos; Sitios de Carácter Cuantitativo; Biología Computacional

Palabras clave

Gene Expression Networks; Iterative Random Forest; Random Forest; X-AI-based eQTL; high-performance computing

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Algoritmos / Simulación por Computador / Sitios de Carácter Cuantitativo / Modelos Genéticos Tipo de estudio: Clinical_trials / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Genes (Basel) Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos

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