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Open Access Highly Accessed Research article

Using PPI network autocorrelation in hierarchical multi-label classification trees for gene function prediction

Daniela Stojanova12*, Michelangelo Ceci3*, Donato Malerba3 and Saso Dzeroski124

Author Affiliations

1 Department of Knowledge Technologies, Jožef Stefan Institute, Jamova cesta 39, Ljubljana, Slovenia

2 Jožef Stefan International Postgraduate School, Jamova 39, 1000 Ljubljana, Slovenia

3 Dipartimento di Informatica, Università degli Studi di Bari "Aldo Moro", via Orabona 4, Bari, Italy

4 Centre of Excellence for Integrated Approaches in Chemistry and Biology of Proteins, Jamova 39, 1000 Ljubljana, Slovenia

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BMC Bioinformatics 2013, 14:285  doi:10.1186/1471-2105-14-285

Published: 26 September 2013

Additional files

Additional file 1:

Algorithm 2: Pseudo-code of the CLUS-HMC algorithm for top-down induction of HMC trees.

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Open Data

Additional file 2:

Geary’sC for Spatial Regression.

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Additional file 3:

The performance of the models for predicting FUN annotations.

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Additional file 4:

The performance of NHMC and other methods in predicting FUN annotations of yeast genes.

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Open Data