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GediNET for discovering gene associations across diseases using knowledge based machine learning approach
The most common approaches to discovering genes associated with specific diseases are based on machine learning and use a variety of feature selection techniques to identify significant genes that can serve as biomarkers for a given disease. More recently, the integration in this process of prior kn...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9675776/ https://www.ncbi.nlm.nih.gov/pubmed/36402891 http://dx.doi.org/10.1038/s41598-022-24421-0 |