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Exploring the druggable space around the Fanconi anemia pathway using machine learning and mechanistic models
BACKGROUND: In spite of the abundance of genomic data, predictive models that describe phenotypes as a function of gene expression or mutations are difficult to obtain because they are affected by the curse of dimensionality, given the disbalance between samples and candidate genes. And this is espe...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6604281/ https://www.ncbi.nlm.nih.gov/pubmed/31266445 http://dx.doi.org/10.1186/s12859-019-2969-0 |