Title :
Biomarker Discovery from Proteomic Data Based on Wavelet Package Transform and AdaBoost
Author :
Du Jianqiang ; Wu Xiao-min ; Su Heng-Jie ; Wang Bo ; Zhang Hu-qin
Author_Institution :
Key Lab. of Biomed. Inf. Eng. of Minist. of Educ., Xi´an Jiaotong Univ., Xi´an, China
Abstract :
Advances in proteomics provide a new method for early detection of cancer, it can provide a wealth of information and rapidly generate large quantities of data from the analysis of biological specimens. In particular, proteomic pattern of body fluid has attracted attention as an approach to early detection of cancer. Mass spectrometry can provide rapid and precise measurements of the proteins in the body fluid. But the data processing is still a challenge due to noise artifact and high dimensionality of the proteomic data. In this paper, we proposed a scheme that combined wavelet package transform, statistic analysis and AdaBoost to process a public prostate cancer proteomic dataset, the obtained discriminative proteomic pattern can differentiate the cancer form control with high sensitivity and specificity.
Keywords :
biomedical measurement; cancer; learning (artificial intelligence); mass spectroscopy; medical diagnostic computing; proteins; proteomics; statistical analysis; tumours; wavelet transforms; AdaBoost; biological specimens; cancer detection; discriminative proteomic pattern; mass spectrometry; noise artifact; proteins; proteomic data; statistic analysis; wavelet package transform; Biomarkers; Cancer detection; Data analysis; Data processing; Information analysis; Mass spectroscopy; Packaging; Proteins; Proteomics; Wavelet transforms;
Conference_Titel :
Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2901-1
Electronic_ISBN :
978-1-4244-2902-8
DOI :
10.1109/ICBBE.2009.5162453
