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» A new algorithm for gap constrained sequence mining
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PKDD
2005
Springer
105views Data Mining» more  PKDD 2005»
13 years 10 months ago
Protein Sequence Pattern Mining with Constraints
Considering the characteristics of biological sequence databases, which typically have a small alphabet, a very long length and a relative small size (several hundreds of sequences...
Pedro Gabriel Ferreira, Paulo J. Azevedo
SIAMJO
2010
89views more  SIAMJO 2010»
12 years 11 months ago
A New Sequential Optimality Condition for Constrained Optimization and Algorithmic Consequences
Necessary first-order sequential optimality conditions provide adequate theoretical tools to justify stopping criteria for nonlinear programming solvers. These conditions are sati...
Roberto Andreani, José Mario Martíne...
BMCBI
2004
94views more  BMCBI 2004»
13 years 4 months ago
GASP: Gapped Ancestral Sequence Prediction for proteins
Background: The prediction of ancestral protein sequences from multiple sequence alignments is useful for many bioinformatics analyses. Predicting ancestral sequences is not a sim...
Richard J. Edwards, Denis C. Shields
KDD
2009
ACM
178views Data Mining» more  KDD 2009»
14 years 5 months ago
Constrained optimization for validation-guided conditional random field learning
Conditional random fields(CRFs) are a class of undirected graphical models which have been widely used for classifying and labeling sequence data. The training of CRFs is typicall...
Minmin Chen, Yixin Chen, Michael R. Brent, Aaron E...
BMCBI
2007
164views more  BMCBI 2007»
13 years 4 months ago
SEARCHPATTOOL: a new method for mining the most specific frequent patterns for binding sites with application to prokaryotic DNA
Background: Computational methods to predict transcription factor binding sites (TFBS) based on exhaustive algorithms are guaranteed to find the best patterns but are often limite...
Fathi Elloumi, Martha Nason