A classification method based on principal components of SELDI spectra to diagnose of lung adenocarcinoma.
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 on princi...
Main Authors: | , , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2012-01-01
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Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC3312904?pdf=render |