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Where Do We Stand in Regularization for Life Science Studies?
More and more biologists and bioinformaticians turn to machine learning to analyze large amounts of data. In this context, it is crucial to understand which is the most suitable data analysis pipeline for achieving reliable results. This process may be challenging, due to a variety of factors, the m...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Mary Ann Liebert, Inc., publishers
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8968832/ https://www.ncbi.nlm.nih.gov/pubmed/33926217 http://dx.doi.org/10.1089/cmb.2019.0371 |