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BMCBI
2006
85views more  BMCBI 2006»
15 years 15 days ago
Recursive SVM feature selection and sample classification for mass-spectrometry and microarray data
Xuegong Zhang, Xin Lu, Qian Shi, Xiu-qin Xu, Hon-c...
105
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BMCBI
2004
153views more  BMCBI 2004»
15 years 9 days ago
Computational protein biomarker prediction: a case study for prostate cancer
Background: Recent technological advances in mass spectrometry pose challenges in computational mathematics and statistics to process the mass spectral data into predictive models...
Michael Wagner, Dayanand N. Naik, Alex Pothen, Sri...
127
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BMCBI
2007
173views more  BMCBI 2007»
15 years 14 days ago
Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
Malik Yousef, Segun Jung, Louise C. Showe, Michael...
97
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CSDA
2008
126views more  CSDA 2008»
15 years 16 days ago
A new genetic algorithm in proteomics: Feature selection for SELDI-TOF data
Mass spectrometry from clinical specimens is used in order to identify biomarkers in a diagnosis. Thus, a reliable method for both feature selection and classification is required...
Christelle Reynès, Robert Sabatier, Nicolas...
BMCBI
2010
190views more  BMCBI 2010»
15 years 17 days ago
Sample size and statistical power considerations in high-dimensionality data settings: a comparative study of classification alg
Background: Data generated using `omics' technologies are characterized by high dimensionality, where the number of features measured per subject vastly exceeds the number of...
Yu Guo, Armin Graber, Robert N. McBurney, Raji Bal...