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» A numerical method for mass spectral data analysis
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AUSAI
2009
Springer
13 years 10 months ago
Adapting Spectral Co-clustering to Documents and Terms Using Latent Semantic Analysis
Abstract. Spectral co-clustering is a generic method of computing coclusters of relational data, such as sets of documents and their terms. Latent semantic analysis is a method of ...
Laurence A. F. Park, Christopher Leckie, Kotagiri ...
BIOINFORMATICS
2010
108views more  BIOINFORMATICS 2010»
13 years 5 months ago
Mass spectrometry data processing using zero-crossing lines in multi-scale of Gaussian derivative wavelet
Motivation: Peaks are the key information in Mass Spectrometry (MS) which has been increasingly used to discover diseases related proteomic patterns. Peak detection is an essentia...
Nha Nguyen, Heng Huang, Soontorn Oraintara, An P. ...

Book
1702views
15 years 5 months ago
Numerical Methods with Applications
"Mathematical models are an integral part in solving engineering problems. Many times, these mathematical models are derived from engineering and science principles, while at ...
Autar K Kaw, Egwu E Kalu
BMCBI
2004
228views more  BMCBI 2004»
13 years 7 months ago
An XML standard for the dissemination of annotated 2D gel electrophoresis data complemented with mass spectrometry results
Background: Many proteomics initiatives require a seamless bioinformatics integration of a range of analytical steps between sample collection and systems modeling immediately ass...
Romesh Stanislaus, Liu Hong Jiang, Martha Swartz, ...
EVOW
2006
Springer
13 years 11 months ago
Robust SVM-Based Biomarker Selection with Noisy Mass Spectrometric Proteomic Data
Abstract. Computational analysis of mass spectrometric (MS) proteomic data from sera is of potential relevance for diagnosis, prognosis, choice of therapy, and study of disease act...
Elena Marchiori, Connie R. Jimenez, Mikkel West-Ni...