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Unsupervised construction of computational graphs for gene expression data with explicit structural inductive biases
MOTIVATION: Gene expression data are commonly used at the intersection of cancer research and machine learning for better understanding of the molecular status of tumour tissue. Deep learning predictive models have been employed for gene expression data due to their ability to scale and remove the n...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8826027/ https://www.ncbi.nlm.nih.gov/pubmed/34888618 http://dx.doi.org/10.1093/bioinformatics/btab830 |