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Conference Paper: Sensitivity analysis of boosting PSI-BLAST with case study on subcellular localization

TitleSensitivity analysis of boosting PSI-BLAST with case study on subcellular localization
Authors
Issue Date2007
Citation
Machine Learning For Signal Processing 17 - Proceedings Of The 2007 Ieee Signal Processing Society Workshop, Mlsp, 2007, p. 39-44 How to Cite?
AbstractThis paper studies the sensitivity of PSI-BLAST with respect to the 'h' parameter. Observing that the standard PSI-BLAST is sensitive to parameter 'h' in the high-value region, we propose a new technique, called Boosting PSI-BLAST, to reduce the sensitivity, By constraining 'h' to a small value first so as to reduce the chance of early corruption and then relaxing it gradually to increase divergence, the boosting PSI-BLAST not only can reduce the sensitivity to h-value, but also may strike a good balance between corruption and divergence in profiles. Tests on Reinhardt and Hubbard's eukaryotic protein dataset verify that our method is better in reducing the sensitivity of profile alignment scores to h-value than the standard PSI-BLAST. ©2007 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/158532
References

 

DC FieldValueLanguage
dc.contributor.authorMai, Fen_US
dc.contributor.authorMak, MWen_US
dc.contributor.authorHung, YSen_US
dc.contributor.authorKung, SYen_US
dc.date.accessioned2012-08-08T09:00:07Z-
dc.date.available2012-08-08T09:00:07Z-
dc.date.issued2007en_US
dc.identifier.citationMachine Learning For Signal Processing 17 - Proceedings Of The 2007 Ieee Signal Processing Society Workshop, Mlsp, 2007, p. 39-44en_US
dc.identifier.urihttp://hdl.handle.net/10722/158532-
dc.description.abstractThis paper studies the sensitivity of PSI-BLAST with respect to the 'h' parameter. Observing that the standard PSI-BLAST is sensitive to parameter 'h' in the high-value region, we propose a new technique, called Boosting PSI-BLAST, to reduce the sensitivity, By constraining 'h' to a small value first so as to reduce the chance of early corruption and then relaxing it gradually to increase divergence, the boosting PSI-BLAST not only can reduce the sensitivity to h-value, but also may strike a good balance between corruption and divergence in profiles. Tests on Reinhardt and Hubbard's eukaryotic protein dataset verify that our method is better in reducing the sensitivity of profile alignment scores to h-value than the standard PSI-BLAST. ©2007 IEEE.en_US
dc.languageengen_US
dc.relation.ispartofMachine Learning for Signal Processing 17 - Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSPen_US
dc.titleSensitivity analysis of boosting PSI-BLAST with case study on subcellular localizationen_US
dc.typeConference_Paperen_US
dc.identifier.emailHung, YS:yshung@eee.hku.hken_US
dc.identifier.authorityHung, YS=rp00220en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1109/MLSP.2007.4414279en_US
dc.identifier.scopuseid_2-s2.0-48149087990en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-48149087990&selection=ref&src=s&origin=recordpageen_US
dc.identifier.spage39en_US
dc.identifier.epage44en_US
dc.identifier.scopusauthoridMai, F=12804393400en_US
dc.identifier.scopusauthoridMak, MW=7101716601en_US
dc.identifier.scopusauthoridHung, YS=8091656200en_US
dc.identifier.scopusauthoridKung, SY=7102989364en_US

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