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  • 1
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2010
    In:  Bioinformatics Vol. 26, No. 14 ( 2010-07-15), p. 1708-1713
    In: Bioinformatics, Oxford University Press (OUP), Vol. 26, No. 14 ( 2010-07-15), p. 1708-1713
    Abstract: Motivation: Since database retrieval is a fundamental operation, the measurement of retrieval efficacy is critical to progress in bioinformatics. This article points out some issues with current methods of measuring retrieval efficacy and suggests some improvements. In particular, many studies have used the pooled receiver operating characteristic for n irrelevant records (ROCn) score, the area under the ROC curve (AUC) of a ‘pooled’ ROC curve, truncated at n irrelevant records. Unfortunately, the pooled ROCn score does not faithfully reflect actual usage of retrieval algorithms. Additionally, a pooled ROCn score can be very sensitive to retrieval results from as little as a single query. Methods: To replace the pooled ROCn score, we propose the Threshold Average Precision (TAP-k), a measure closely related to the well-known average precision in information retrieval, but reflecting the usage of E-values in bioinformatics. Furthermore, in addition to conditions previously given in the literature, we introduce three new criteria that an ideal measure of retrieval efficacy should satisfy. Results: PSI-BLAST, GLOBAL, HMMER and RPS-BLAST provided examples of using the TAP-k and pooled ROCn scores to evaluate sequence retrieval algorithms. In particular, compelling examples using real data highlight the drawbacks of the pooled ROCn score, showing that it can produce evaluations skewing far from intuitive expectations. In contrast, the TAP-k satisfies most of the criteria desired in an ideal measure of retrieval efficacy. Availability and Implementation: The TAP-k web server and downloadable Perl script are freely available at http://www.ncbi.nlm.nih.gov/CBBresearch/Spouge/html.ncbi/tap/ Contact:  spouge@ncbi.nlm.nih.gov Supplementary Information:  Supplementary data are available at Bioinformatics online.
    Type of Medium: Online Resource
    ISSN: 1367-4811 , 1367-4803
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2010
    detail.hit.zdb_id: 1468345-3
    SSG: 12
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  • 2
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2019
    In:  BMC Bioinformatics Vol. 20, No. 1 ( 2019-12)
    In: BMC Bioinformatics, Springer Science and Business Media LLC, Vol. 20, No. 1 ( 2019-12)
    Type of Medium: Online Resource
    ISSN: 1471-2105
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2019
    detail.hit.zdb_id: 2041484-5
    SSG: 12
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  • 3
    Online Resource
    Online Resource
    Institute of Electrical and Electronics Engineers (IEEE) ; 2015
    In:  IEEE/ACM Transactions on Computational Biology and Bioinformatics Vol. 12, No. 3 ( 2015-5-1), p. 531-537
    In: IEEE/ACM Transactions on Computational Biology and Bioinformatics, Institute of Electrical and Electronics Engineers (IEEE), Vol. 12, No. 3 ( 2015-5-1), p. 531-537
    Type of Medium: Online Resource
    ISSN: 1545-5963
    Language: Unknown
    Publisher: Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2015
    detail.hit.zdb_id: 2158957-4
    SSG: 12
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