Sep 26, 2013 · This article demonstrates the benefits (in terms of predictive accuracy) of considering autocorrelation in multi-class gene function prediction.

Sep 26, 2013 · This article demonstrates the benefits (in terms of predictive accuracy) of considering autocorrelation in multi-class gene function prediction.

A tree-based algorithm for considering network autocorrelation in the setting of Hierarchical Multi-label Classification (HMC), which takes into account ...

Ontologies and catalogs of gene functions, such as the Gene Ontology (GO) and MIPS-FUN, assume that functional classes are organized hierarchically, ...

May 18, 2024 · This article demonstrates the benefits (in terms of predictive accuracy) of considering autocorrelationin multi-class gene function prediction.

2013, J. Bioinform. Comput. Biol. Predicting gene function in S. cerevisiae and A. thaliana using hierarchical multi-label decision tree ensembles.

Using PPI network autocorrelation in hierarchical multi-label classification trees for gene function prediction. https://doi.org/10.1186/1471-2105-14-285 ...

The proposed algorithm is able to profitably exploit network autocorrelation when learning a tree-based prediction model for HMC. The learned model is in the ...

Results: This article demonstrates the benefits (in terms of predictive accuracy) of considering autocorrelation in multi-class gene function prediction. We ...

Oct 23, 2012 · Using PPI Networks in hierarchical multi-label classification trees for gene function prediction ... Network autocorrelation of gene functions ...