Biomimetic Pattern Recognition for Classification of Proteomic Profile

Xiao Li Yang; Qiong He

doi:10.4028/www.scientific.net/AMR.791-793.1961

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 791-793Biomimetic Pattern Recognition for Classification...

Biomimetic Pattern Recognition for Classification of Proteomic Profile

Abstract:

We propose a biomimetic pattern recognition (BPR) approach for classification of proteomic profile. The proposed approach preprocess profile using iterative minimum in adaptive setting window (IMASW) method for baseline correction, discrete wavelet transform (DWT) for fitting and smoothing, and average total ion normalization (ATIN) for remove the influence of vary amount of sample and degradation over time. Then principal component analysis (PCA) and BPR build classification model. With an optimization of the parameters involved in the modeling, we obtain a satisfactory model for cancer diagnosis in three proteomic profile datasets. The predicted results show that BPR technique is more reliable and efficient than support vector machine (SVM) method.

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Periodical:

Advanced Materials Research (Volumes 791-793)

Pages:

1961-1964

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.791-793.1961

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Online since:

September 2013

Authors:

Xiao Li Yang, Qiong He

Keywords:

Biomimetic Pattern Recognition (BPR), Classification, Proteomic Profile

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