Linked Life Data

18192302

Source:http://linkedlifedata.com/resource/pubmed/id/18192302

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2008-4-24
pubmed:abstractText
ROC ('receiver operator characteristics') analysis is a visual as well as numerical method used for assessing the performance of classification algorithms, such as those used for predicting structures and functions from sequence data. This review summarizes the fundamental concepts of ROC analysis and the interpretation of results using examples of sequence and structure comparison. We overview the available programs and provide evaluation guidelines for genomic/proteomic data, with particular regard to applications to large and heterogeneous databases used in bioinformatics.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
May
pubmed:issn
1477-4054
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
9
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
198-209
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
ROC analysis: applications to the classification of biological sequences and 3D structures.
pubmed:affiliation
Protein Structure and Bioinformatics Group, International Centre for Genetic Engineering and Biotechnology, 34012 Trieste, Italy.
pubmed:publicationType
Journal Article, Review, Research Support, Non-U.S. Gov't