Source:http://linkedlifedata.com/resource/pubmed/id/12075015
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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
6
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pubmed:dateCreated |
2002-6-20
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pubmed:abstractText |
We present an extensive evaluation of different methods and criteria to detect remote homologs of a given protein sequence. We investigate two associated problems: first, to develop a sensitive searching method to identify possible candidates and, second, to assign a confidence to the putative candidates in order to select the best one. For searching methods where the score distributions are known, p-values are used as confidence measure with great success. For the cases where such theoretical backing is absent, we propose empirical approximations to p-values for searching procedures.
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pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:month |
Jun
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pubmed:issn |
1367-4803
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
18
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
802-12
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pubmed:dateRevised |
2006-11-15
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pubmed:meshHeading | |
pubmed:year |
2002
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pubmed:articleTitle |
Confidence measures for protein fold recognition.
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pubmed:affiliation |
Fraunhofer Institute for Algorithms and Scientific Computing, Schloss Birlinghoven, D-53754 Sankt Augustin, Germany. ingolf.sommer@gmd.de
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pubmed:publicationType |
Journal Article,
Comparative Study,
Research Support, Non-U.S. Gov't,
Evaluation Studies
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