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rdf:type |
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lifeskim:mentions |
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pubmed:dateCreated |
2009-4-8
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pubmed:abstractText |
A central goal of experimental studies in systems biology is to identify meaningful markers that are hidden within a diffuse background of data originating from large-scale analytical intensity measurements as obtained from metabolomic experiments. Intensity-based clustering is an unsupervised approach to the identification of metabolic markers based on the grouping of similar intensity profiles. A major problem of this basic approach is that in general there is no prior information about an adequate number of biologically relevant clusters.
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pubmed:commentsCorrections |
http://linkedlifedata.com/resource/pubmed/commentcorrection/19302701-11062433,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19302701-12430030,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19302701-14630665,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19302701-14871861,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19302701-15180930,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19302701-15927065,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19302701-16333293,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19302701-16921475,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19302701-17995915,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19302701-18226195,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19302701-18251861,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19302701-18400744,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19302701-18442993,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19302701-18467195,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19302701-18564421,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19302701-18582365,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19302701-18829985
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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:issn |
1471-2105
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pubmed:author |
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pubmed:issnType |
Electronic
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pubmed:volume |
10
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
92
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pubmed:dateRevised |
2009-11-18
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pubmed:meshHeading |
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pubmed:year |
2009
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pubmed:articleTitle |
MarVis: a tool for clustering and visualization of metabolic biomarkers.
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pubmed:affiliation |
Department of Bioinformatics, Institute of Microbiology and Genetics, Georg-August-University Göttingen, Germany. alex@gobics.de
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
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