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JCSS
2007
116views more  JCSS 2007»
13 years 7 months ago
The most probable annotation problem in HMMs and its application to bioinformatics
Hidden Markov models (HMMs) are often used for biological sequence annotation. Each sequence feature is represented by a collection of states with the same label. In annotating a ...
Brona Brejová, Daniel G. Brown 0001, Tom&aa...
KDD
2007
ACM
154views Data Mining» more  KDD 2007»
14 years 8 months ago
An event-based framework for characterizing the evolutionary behavior of interaction graphs
Interaction graphs are ubiquitous in many fields such as bioinformatics, sociology and physical sciences. There have been many studies in the literature targeted at studying and m...
Sitaram Asur, Srinivasan Parthasarathy, Duygu Ucar
WABI
2004
Springer
106views Bioinformatics» more  WABI 2004»
14 years 1 months ago
Suboptimal Local Alignments Across Multiple Scoring Schemes
Abstract. Sequence alignment algorithms have a long standing tradition in bioinformatics. In this paper, we formulate an extension to existing local alignment algorithms: local ali...
Morris Michael, Christoph Dieterich, Jens Stoye
BMCBI
2010
142views more  BMCBI 2010»
13 years 8 months ago
Classification of protein sequences by means of irredundant patterns
Background: The classification of protein sequences using string algorithms provides valuable insights for protein function prediction. Several methods, based on a variety of diff...
Matteo Comin, Davide Verzotto
GECCO
2004
Springer
116views Optimization» more  GECCO 2004»
14 years 1 months ago
Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles
Abstract. In many real-world applications of evolutionary computation, it is essential to reduce the number of fitness evaluations. To this end, computationally efficient models c...
Yaochu Jin, Bernhard Sendhoff