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Disease gene prediction with privileged information and heteroscedastic dropout
MOTIVATION: Recently, machine learning models have achieved tremendous success in prioritizing candidate genes for genetic diseases. These models are able to accurately quantify the similarity among disease and genes based on the intuition that similar genes are more likely to be associated with sim...
| 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/PMC8275341/ https://www.ncbi.nlm.nih.gov/pubmed/34252957 http://dx.doi.org/10.1093/bioinformatics/btab310 |