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Improved prediction of gene expression through integrating cell signalling models with machine learning
BACKGROUND: A key problem in bioinformatics is that of predicting gene expression levels. There are two broad approaches: use of mechanistic models that aim to directly simulate the underlying biology, and use of machine learning (ML) to empirically predict expression levels from descriptors of the...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9356471/ https://www.ncbi.nlm.nih.gov/pubmed/35933367 http://dx.doi.org/10.1186/s12859-022-04787-8 |