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» Genetic algorithms using low-discrepancy sequences
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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
2010
167views more  BMCBI 2010»
13 years 4 months ago
Inference of sparse combinatorial-control networks from gene-expression data: a message passing approach
Background: Transcriptional gene regulation is one of the most important mechanisms in controlling many essential cellular processes, including cell development, cell-cycle contro...
Marc Bailly-Bechet, Alfredo Braunstein, Andrea Pag...
BMCBI
2006
86views more  BMCBI 2006»
13 years 4 months ago
Microbial identification by mass cataloging
Background: The public availability of over 180,000 bacterial 16S ribosomal RNA (rRNA) sequences has facilitated microbial identification and classification using hybridization an...
Zhengdong Zhang, George W. Jackson, George E. Fox,...
ICALP
2001
Springer
13 years 9 months ago
Permutation Editing and Matching via Embeddings
Abstract. If the genetic maps of two species are modelled as permutations of (homologous) genes, the number of chromosomal rearrangements in the form of deletions, block moves, inv...
Graham Cormode, S. Muthukrishnan, Süleyman Ce...
BMCBI
2007
96views more  BMCBI 2007»
13 years 4 months ago
Structure and function predictions of the Msa protein in Staphylococcus aureus
Background: Staphylococcus aureus is a human pathogen that causes a wide variety of lifethreatening infections using a large number of virulence factors. One of the major global r...
Vijayaraj Nagarajan, Mohamed O. Elasri