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MCS
2009
Springer
14 years 2 months ago
Ensemble Based Data Fusion for Gene Function Prediction
The availability of an ever increasing amount of data sources due to recent advances in high throughput biotechnologies opens unprecedented opportunities for genome-wide gene funct...
Matteo Re, Giorgio Valentini
IJON
2010
148views more  IJON 2010»
13 years 4 months ago
Integration of heterogeneous data sources for gene function prediction using decision templates and ensembles of learning machin
Several solutions have been proposed to exploit the availability of heterogeneous sources of biomolecular data for gene function prediction, but few attention has been dedicated t...
Matteo Re, Giorgio Valentini
BIBM
2008
IEEE
217views Bioinformatics» more  BIBM 2008»
14 years 2 months ago
Combining Hierarchical Inference in Ontologies with Heterogeneous Data Sources Improves Gene Function Prediction
The study of gene function is critical in various genomic and proteomic fields. Due to the availability of tremendous amounts of different types of protein data, integrating thes...
Xiaoyu Jiang, Naoki Nariai, Martin Steffen, Simon ...
JMLR
2010
133views more  JMLR 2010»
13 years 2 months ago
Hierarchical Cost-Sensitive Algorithms for Genome-Wide Gene Function Prediction
In this work we propose new ensemble methods for the hierarchical classification of gene functions. Our methods exploit the hierarchical relationships between the classes in diffe...
Nicolò Cesa-Bianchi, Giorgio Valentini
GECCO
2005
Springer
14 years 1 months ago
Using gene deletion and gene duplication in evolution strategies
Self-adaptation of the mutation strengths is a powerful mechanism in evolution strategies (ES), but it can fail. As a consequence premature convergence or ending up in a local opt...
Karlheinz Schmitt