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binomialRF: interpretable combinatoric efficiency of random forests to identify biomarker interactions
BACKGROUND: In this era of data science-driven bioinformatics, machine learning research has focused on feature selection as users want more interpretation and post-hoc analyses for biomarker detection. However, when there are more features (i.e., transcripts) than samples (i.e., mice or human sampl...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7456085/ https://www.ncbi.nlm.nih.gov/pubmed/32859146 http://dx.doi.org/10.1186/s12859-020-03718-9 |