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An Ensemble Feature Selection Method for Biomarker Discovery
Feature selection in Liquid Chromatography-Mass Spectrometry (LC-MS)-based metabolomics data (biomarker discovery) have become an important topic for machine learning researchers. High dimensionality and small sample size of LC-MS data make feature selection a challenging task. The goal of biomarker...
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| Publicat a: | Proc IEEE Int Symp Signal Proc Inf Tech |
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| Autors principals: | , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2018
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6420823/ https://ncbi.nlm.nih.gov/pubmed/30887013 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ISSPIT.2017.8388679 |
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