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» Comparative analysis of biclustering algorithms
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BMCBI
2007
106views more  BMCBI 2007»
13 years 10 months ago
Improved classification accuracy in 1- and 2-dimensional NMR metabolomics data using the variance stabilising generalised logari
Background: Classifying nuclear magnetic resonance (NMR) spectra is a crucial step in many metabolomics experiments. Since several multivariate classification techniques depend up...
Helen M. Parsons, Christian Ludwig, Ulrich L. G&uu...
BMCBI
2006
216views more  BMCBI 2006»
13 years 10 months ago
Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data
Background: Retinal photoreceptors are highly specialised cells, which detect light and are central to mammalian vision. Many retinal diseases occur as a result of inherited dysfu...
Haiying Wang, Huiru Zheng, David Simpson, Francisc...
PE
2011
Springer
167views Optimization» more  PE 2011»
13 years 5 months ago
Passage-time computation and aggregation strategies for large semi-Markov processes
High-level semi-Markov modelling paradigms such as semi-Markov stochastic Petri nets and process algebras are used to capture realistic performance models of computer and communic...
Marcel C. Guenther, Nicholas J. Dingle, Jeremy T. ...
WWW
2011
ACM
13 years 4 months ago
Automatic construction of a context-aware sentiment lexicon: an optimization approach
The explosion of Web opinion data has made essential the need for automatic tools to analyze and understand people’s sentiments toward different topics. In most sentiment analy...
Yue Lu, Malú Castellanos, Umeshwar Dayal, C...
LCTRTS
2009
Springer
14 years 5 months ago
A compiler optimization to reduce soft errors in register files
Register file (RF) is extremely vulnerable to soft errors, and traditional redundancy based schemes to protect the RF are prohibitive not only because RF is often in the timing c...
Jongeun Lee, Aviral Shrivastava