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rdf:type |
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lifeskim:mentions |
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pubmed:issue |
7
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pubmed:dateCreated |
2008-7-7
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pubmed:abstractText |
SIMCA classification can be applied to 2D-PAGE maps to identify changes occurring in cellular protein contents as a consequence of illnesses or therapies. These data sets are complex to treat due to the large number of proteins detected. A method for identifying relevant proteins from SIMCA discriminating powers is proposed, based on the Box-Cox transformation coupled to probability papers. The method successfully allowed the identification of the relevant spots from 2D maps.
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:chemical |
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pubmed:status |
MEDLINE
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pubmed:month |
Jul
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pubmed:issn |
1535-3893
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pubmed:author |
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pubmed:issnType |
Print
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pubmed:volume |
7
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
2789-96
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pubmed:meshHeading |
pubmed-meshheading:18543959-Animals,
pubmed-meshheading:18543959-Antineoplastic Agents,
pubmed-meshheading:18543959-Cell Line, Tumor,
pubmed-meshheading:18543959-Electrophoresis, Gel, Two-Dimensional,
pubmed-meshheading:18543959-Endothelium,
pubmed-meshheading:18543959-Humans,
pubmed-meshheading:18543959-Hydroxamic Acids,
pubmed-meshheading:18543959-Mice,
pubmed-meshheading:18543959-Neoplasms,
pubmed-meshheading:18543959-Neuroblastoma,
pubmed-meshheading:18543959-Pancreas,
pubmed-meshheading:18543959-Pancreatic Neoplasms,
pubmed-meshheading:18543959-Probability,
pubmed-meshheading:18543959-Proteins,
pubmed-meshheading:18543959-Proteomics,
pubmed-meshheading:18543959-Sirolimus,
pubmed-meshheading:18543959-Statistical Distributions,
pubmed-meshheading:18543959-Vinblastine
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pubmed:year |
2008
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pubmed:articleTitle |
Evaluation of the variables characterized by significant discriminating power in the application of SIMCA classification method to proteomic studies.
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pubmed:affiliation |
Department of Environmental and Life Sciences, University of Eastern Piedmont, Via Bellini 25/G, 15100 Alessandria, Italy. marengoe@tin.it
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
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