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DAGSTUHL
2009
13 years 10 months ago
Learning Highly Structured Manifolds: Harnessing the Power of SOMs
Abstract. In this paper we elaborate on the challenges of learning manifolds that have many relevant clusters, and where the clusters can have widely varying statistics. We call su...
Erzsébet Merényi, Kadim Tasdemir, Li...
BMCBI
2005
100views more  BMCBI 2005»
13 years 9 months ago
Evolutionary models for insertions and deletions in a probabilistic modeling framework
Background: Probabilistic models for sequence comparison (such as hidden Markov models and pair hidden Markov models for proteins and mRNAs, or their context-free grammar counterp...
Elena Rivas
CORR
2006
Springer
118views Education» more  CORR 2006»
13 years 9 months ago
Integration and mining of malaria molecular, functional and pharmacological data: how far are we from a chemogenomic knowledge s
The organization and mining of malaria genomic and post-genomic data is important to significantly increase the knowledge of the biology of its causative agents, and is motivated,...
L.-M. Birkholtz, Olivier Bastien, G. Wells, D. Gra...
BMCBI
2010
201views more  BMCBI 2010»
13 years 7 months ago
IntelliGO: a new vector-based semantic similarity measure including annotation origin
Background: The Gene Ontology (GO) is a well known controlled vocabulary describing the biological process, molecular function and cellular component aspects of gene annotation. I...
Sidahmed Benabderrahmane, Malika Smaïl-Tabbon...
BMCBI
2010
112views more  BMCBI 2010»
13 years 9 months ago
Computational identification of rare codons of Escherichia coli based on codon pairs preference
Background: Codon bias is believed to play an important role in the control of gene expression. In Escherichia coli, some rare codons, which can limit the expression level of exog...
Xianming Wu, Songfeng Wu, Dong Li, Jiyang Zhang, L...