Lilikoi V2.0: a deep learning-enabled, personalized pathway-based R package for diagnosis and prognosis predictions using metabolomics data.

Fang, Xinying; Liu, Yu; Ren, Zhijie; Du, Yuheng; Huang, Qianhui; Garmire, Lana X

Fang, Xinying; Liu, Yu; Ren, Zhijie; Du, Yuheng; Huang, Qianhui; Garmire, Lana X.

Afiliación

Fang X; Department of Biostatistics, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 49109, USA.
Liu Y; Department of Computational Medicine and Bioinformatics, University of Michigan, 1600 Huron Parkway, Ann Arbor, MI 48105, USA.
Ren Z; Department of Electric Engineering and Computer Science, 2260 Hayward Street, University of Michigan, Ann Arbor, MI 48109, USA.
Du Y; Department of Biostatistics, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 49109, USA.
Huang Q; Department of Biostatistics, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 49109, USA.
Garmire LX; Department of Computational Medicine and Bioinformatics, University of Michigan, 1600 Huron Parkway, Ann Arbor, MI 48105, USA.

Gigascience ; 10(1)2021 01 23.

Article en En | MEDLINE | ID: mdl-33484242

Asunto(s)

Aprendizaje Profundo; Aprendizaje Automático; Metabolómica; Modelos de Riesgos Proporcionales; Programas Informáticos

Palabras clave

classification; deep learning; metabolomics; neural network; pathway; prognosis; survival analysis; visualization

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Gigascience Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google