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forgeNet: a graph deep neural network model using tree-based ensemble classifiers for feature graph construction
MOTIVATION: A unique challenge in predictive model building for omics data has been the small number of samples (n) versus the large amount of features (p). This ‘ [Formula: see text] ’ property brings difficulties for disease outcome classification using deep learning techniques. Sparse learning by...
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| Publicado en: | Bioinformatics |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Oxford University Press
2020
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7267822/ https://ncbi.nlm.nih.gov/pubmed/32163118 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btaa164 |
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