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» Multiplicative Background Risk
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119
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SSIAI
2000
IEEE
15 years 5 months ago
A New Bayesian Relaxation Framework for the Estimation and Segmentation of Multiple Motions
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
Alexander Strehl, Jake K. Aggarwal
96
Voted
BMCBI
2007
112views more  BMCBI 2007»
15 years 20 days ago
PFAAT version 2.0: A tool for editing, annotating, and analyzing multiple sequence alignments
Background: By virtue of their shared ancestry, homologous sequences are similar in their structure and function. Consequently, multiple sequence alignments are routinely used to ...
Daniel R. Caffrey, Paul H. Dana, Vidhya Mathur, Ma...
85
Voted
BMCBI
2006
85views more  BMCBI 2006»
15 years 18 days ago
On single and multiple models of protein families for the detection of remote sequence relationships
Background: The detection of relationships between a protein sequence of unknown function and a sequence whose function has been characterised enables the transfer of functional a...
James A. Casbon, Mansoor A. S. Saqi
CP
2003
Springer
15 years 5 months ago
A SAT-Based Approach to Multiple Sequence Alignment
Multiple sequence alignment is a central problem in Bioinformatics. A known integer programming approach is to apply branch-and-cut to exponentially large graph-theoretic models. T...
Steven David Prestwich, Desmond G. Higgins, Orla O...
205
Voted
BMCBI
2006
140views more  BMCBI 2006»
15 years 18 days ago
MACSIMS : multiple alignment of complete sequences information management system
Background: In the post-genomic era, systems-level studies are being performed that seek to explain complex biological systems by integrating diverse resources from fields such as...
Julie D. Thompson, Arnaud Muller, Andrew M. Waterh...