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Identification of post-translational modifications (PTMs) is an important task for understanding biological functions in proteomics. From tandem mass spectra, the identification algorithms attempt to discover accurate PTMs with short time. However, spectral imperfection, such as noise peaks and missing peaks, in tandem mass spectra provokes computational artifacts and often hampers the identification...
Clustering analysis method is one of the main analytical methods in data mining, the method of clustering algorithm will influence the clustering results directly. This paper discusses the standard k-means clustering algorithm and analyzes the shortcomings of standard k-means algorithm, such as the k-means clustering algorithm has to calculate the distance between each data object and all cluster...
Generalized singular value decomposition (GSVD) has been used for linear discriminant analysis (LDA) to solve the small sample size problem in pattern recognition. However, this algorithm may suffer from the over-fitting problem. In this paper, we propose a novel orthogonalization technique for the LDA/GSVD algorithm to address the over-fitting problem. In this technique, an orthogonalization of the...
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