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An inverted index for mass spectra similarity query and comparison with a metric-space method: case study

Published: 18 September 2010 Publication History

Abstract

Query performance is a determining factor in the adoption of an indexing method for similarity query. Metric space indexing methods take great pride in their general applicability. However, it is usually hard for a general method to perform well for every domain. Therefore, it is of interest to investigate the performance of metric-space methods, comparing with domain specific methods, on a particular domain. This paper describes such an investigation for proteomic mass spectra. An inverted index method that exploits the sparsity of mass spectra binary format data and acts as a coarse filter before fine ranking is proposed and empirically compared with an existing metric-space indexing method. Results show that the inverted index method yields greater search efficiency and outperforms the metric-space method in query speed and index size.

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Cited By

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  • (2013)Building an Information Retrieval System: Global Indexing or Local Indexing?Software Engineering and Applications10.12677/SEA.2013.2100202:01(6-14)Online publication date: 2013
  • (2012)On optimizing the non-metric similarity search in tandem mass spectra by clusteringProceedings of the 8th international conference on Bioinformatics Research and Applications10.1007/978-3-642-30191-9_18(189-200)Online publication date: 21-May-2012
  • (2011)Element detection relying on information retrieval techniques applied to laser spectroscopyProceedings of the Fourth International Conference on SImilarity Search and APplications10.1145/1995412.1995429(89-95)Online publication date: 30-Jun-2011

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cover image ACM Other conferences
SISAP '10: Proceedings of the Third International Conference on SImilarity Search and APplications
September 2010
130 pages
ISBN:9781450304207
DOI:10.1145/1862344
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • Bilkent University: Bilkent University
  • Mexican Computer Science Society

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 September 2010

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Author Tags

  1. inverted index
  2. mass spectra
  3. metric-space indexing
  4. similarity query
  5. sparse matrix

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  • Bilkent University

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Cited By

View all
  • (2013)Building an Information Retrieval System: Global Indexing or Local Indexing?Software Engineering and Applications10.12677/SEA.2013.2100202:01(6-14)Online publication date: 2013
  • (2012)On optimizing the non-metric similarity search in tandem mass spectra by clusteringProceedings of the 8th international conference on Bioinformatics Research and Applications10.1007/978-3-642-30191-9_18(189-200)Online publication date: 21-May-2012
  • (2011)Element detection relying on information retrieval techniques applied to laser spectroscopyProceedings of the Fourth International Conference on SImilarity Search and APplications10.1145/1995412.1995429(89-95)Online publication date: 30-Jun-2011

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