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A fair experimental comparison of neural network architectures for latent representations of multi-omics for drug response prediction
BACKGROUND: Recent years have seen a surge of novel neural network architectures for the integration of multi-omics data for prediction. Most of the architectures include either encoders alone or encoders and decoders, i.e., autoencoders of various sorts, to transform multi-omics data into latent re...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9926634/ https://www.ncbi.nlm.nih.gov/pubmed/36788531 http://dx.doi.org/10.1186/s12859-023-05166-7 |