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Feature selection and nearest centroid classification for protein mass spectrometry
BACKGROUND: The use of mass spectrometry as a proteomics tool is poised to revolutionize early disease diagnosis and biomarker identification. Unfortunately, before standard supervised classification algorithms can be employed, the "curse of dimensionality" needs to be solved. Due to the s...
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| Formato: | Texto |
| Lenguaje: | English |
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BioMed Central
2005
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1274262/ https://www.ncbi.nlm.nih.gov/pubmed/15788095 http://dx.doi.org/10.1186/1471-2105-6-68 |