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Gene shaving using a sensitivity analysis of kernel based machine learning approach, with applications to cancer data
BACKGROUND: Gene shaving (GS) is an essential and challenging tools for biomedical researchers due to the large number of genes in human genome and the complex nature of biological networks. Most GS methods are not applicable to non-linear and multi-view data sets. While the kernel based methods can...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6532884/ https://www.ncbi.nlm.nih.gov/pubmed/31120939 http://dx.doi.org/10.1371/journal.pone.0217027 |