Please use this identifier to cite or link to this item: https://doi.org/10.3150/bj/1068128974
Title: Upper bounds and importance sampling of p-values for DNA and protein sequence alignments
Authors: Chan, H.P. 
Keywords: Exponential tilting
Importance sampling
P-value
Sequence alignments
Issue Date: Apr-2003
Citation: Chan, H.P. (2003-04). Upper bounds and importance sampling of p-values for DNA and protein sequence alignments. Bernoulli 9 (2) : 183-199. ScholarBank@NUS Repository. https://doi.org/10.3150/bj/1068128974
Abstract: We show in general how the substitution matrix and gap penalty function for local sequence alignments can be chosen such that the score statistic grows at a logarithmic rate when the two sequences are unrelated. The method used is the construction of a mixture distribution in which sequences with large scores are generated with uniformly higher likelihood. This distribution is also used for the importance sampling of the p-value of the score. An upper bound of this p-value is computed and compared against the simulated value. © 2003 ISI/BS.
Source Title: Bernoulli
URI: http://scholarbank.nus.edu.sg/handle/10635/105453
ISSN: 13507265
DOI: 10.3150/bj/1068128974
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

5
checked on Jan 14, 2022

Page view(s)

59
checked on Jan 13, 2022

Google ScholarTM

Check

Altmetric


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