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A Classification Method Based on Principal Components of SELDI Spectra to Diagnose of Lung Adenocarcinoma
PURPOSE: Lung cancer is the leading cause of cancer death worldwide, but techniques for effective early diagnosis are still lacking. Proteomics technology has been applied extensively to the study of the proteins involved in carcinogenesis. In this paper, a classification method was developed based...
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| Hoofdauteurs: | , , , , , , , , , , , , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Public Library of Science
2012
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3312904/ https://ncbi.nlm.nih.gov/pubmed/22461913 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0034457 |
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