Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/14674
Title: Sensitivity analysis of boosting PSI-BLAST with case study on subcellular localization
Authors: Mai, F
Mak, MW 
Hung, YS
Kung, SY
Keywords: Biology computing
Cellular biophysics
Molecular biophysics
Proteins
Sensitivity analysis
Issue Date: 2007
Publisher: IEEE
Source: 2007 IEEE Workshop on Machine Learning for Signal Processing, 27-29 August 2007, Thessaloniki, p. 39-44 How to cite?
Abstract: This 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.
URI: http://hdl.handle.net/10397/14674
ISBN: 978-1-4244-1566-3
978-1-4244-1566-3 (E-ISBN)
ISSN: 1551-2541
DOI: 10.1109/MLSP.2007.4414279
Appears in Collections:Conference Paper

Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

63
Last Week
3
Last month
Citations as of Jun 18, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.