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AI
2010
Springer
14 years 12 months ago
Logic-based ontology comparison and module extraction, with an application to DL-Lite
We develop a formal framework for comparing different versions of ontologies, and apply it to ontologies formulated in terms of DL-Lite, a family of `lightweight' description...
Roman Kontchakov, Frank Wolter, Michael Zakharyasc...
BMCBI
2010
95views more  BMCBI 2010»
14 years 12 months ago
Modelling p-value distributions to improve theme-driven survival analysis of cancer transcriptome datasets
Background: Theme-driven cancer survival studies address whether the expression signature of genes related to a biological process can predict patient survival time. Although this...
Esteban Czwan, Benedikt Brors, David Kipling
BMCBI
2007
207views more  BMCBI 2007»
14 years 12 months ago
Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clus
Background: The four heterogeneous childhood cancers, neuroblastoma, non-Hodgkin lymphoma, rhabdomyosarcoma, and Ewing sarcoma present a similar histology of small round blue cell...
Nikhil R. Pal, Kripamoy Aguan, Animesh Sharma, Shu...
BMCBI
2008
142views more  BMCBI 2008»
14 years 12 months ago
Strategies for measuring evolutionary conservation of RNA secondary structures
Background: Evolutionary conservation of RNA secondary structure is a typical feature of many functional non-coding RNAs. Since almost all of the available methods used for predic...
Andreas R. Gruber, Stephan H. F. Bernhart, Ivo L. ...
BMCBI
2006
119views more  BMCBI 2006»
14 years 11 months ago
LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
Guoli Wang, Andrew V. Kossenkov, Michael F. Ochs