A classification method based on principal components of SELDI spectra to diagnose of lung adenocarcinoma.

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...

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Bibliographic Details
Main Authors: Qiang Lin, Qianqian Peng, Feng Yao, Xu-Feng Pan, Li-Wen Xiong, Yi Wang, Jun-Feng Geng, Jiu-Xian Feng, Bao-Hui Han, Guo-Liang Bao, Yu Yang, Xiaotian Wang, Li Jin, Wensheng Guo, Jiu-Cun Wang
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2012-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3312904?pdf=render

Internet

http://europepmc.org/articles/PMC3312904?pdf=render

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