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rdf:type |
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lifeskim:mentions |
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pubmed:issue |
14
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pubmed:dateCreated |
2006-7-28
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pubmed:abstractText |
The expression of genes during the cell division process has now been studied in many different species. An important goal of these studies is to identify the set of cycling genes. To date, this was done independently for each of the species studied. Due to noise and other data analysis problems, accurately deriving a set of cycling genes from expression data is a hard problem. This is especially true for some of the multicellular organisms, including humans.
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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 |
1367-4811
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pubmed:author |
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pubmed:issnType |
Electronic
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pubmed:day |
15
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pubmed:volume |
22
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
e314-22
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pubmed:dateRevised |
2009-11-4
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pubmed:meshHeading |
pubmed-meshheading:16873488-Algorithms,
pubmed-meshheading:16873488-Amino Acid Sequence,
pubmed-meshheading:16873488-Cell Cycle Proteins,
pubmed-meshheading:16873488-Gene Expression Profiling,
pubmed-meshheading:16873488-Humans,
pubmed-meshheading:16873488-Molecular Sequence Data,
pubmed-meshheading:16873488-Oligonucleotide Array Sequence Analysis,
pubmed-meshheading:16873488-Saccharomyces cerevisiae Proteins,
pubmed-meshheading:16873488-Sequence Alignment,
pubmed-meshheading:16873488-Sequence Analysis, Protein,
pubmed-meshheading:16873488-Sequence Homology,
pubmed-meshheading:16873488-Systems Integration
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pubmed:year |
2006
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pubmed:articleTitle |
Identifying cycling genes by combining sequence homology and expression data.
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pubmed:affiliation |
School of Computer Science, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA, 15213, USA.
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pubmed:publicationType |
Journal Article,
Research Support, U.S. Gov't, Non-P.H.S.,
Research Support, Non-U.S. Gov't
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