Fran Supek

According to our database, Fran Supek authored at least 10 papers between 2004 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2019

Passenger mutations accurately classify human tumors.

Marina Salvadores, David Mas-Ponte, Fran Supek

PLoS Comput. Biol., 2019

2017

Phenotype Prediction with Semi-supervised Classification Trees.

Jurica Levatic, Maria Brbic, Tomaz Stepisnik Perdih, Dragi Kocev, Vedrana Vidulin, Tomislav Smuc, Fran Supek, Saso Dzeroski

Proceedings of the New Frontiers in Mining Complex Patterns - 6th International Workshop, 2017

Phenotype Inference from Text and Genomic Data.

Maria Brbic, Matija Piskorec, Vedrana Vidulin, Anita Krisko, Tomislav Smuc, Fran Supek

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

2016

Extensive complementarity between gene function prediction methods.

Vedrana Vidulin, Tomislav Smuc, Fran Supek

Bioinform., 2016

2013

Phyletic Profiling with Cliques of Orthologs Is Enhanced by Signatures of Paralogy Relationships.

Nives Skunca, Matko Bosnjak, Anita Krisko, Pance Panov, Saso Dzeroski, Tomislav Smuc, Fran Supek

PLoS Comput. Biol., 2013

Semi-Supervised Learning for Quantitative Structure-Activity Modeling.

Jurica Levatic, Saso Dzeroski, Fran Supek, Tomislav Smuc

Informatica (Slovenia), 2013

2012

Nucleoid-Associated Proteins Affect Mutation Dynamics in <i>E. coli</i> in a Growth Phase-Specific Manner.

Tobias Warnecke, Fran Supek, Ben Lehner

PLoS Comput. Biol., 2012

2010

Correction: Comparison of codon usage measures and their applicability in prediction of microbial gene expressivity.

Fran Supek, Kristian Vlahovicek

BMC Bioinform., 2010

2005

Comparison of codon usage measures and their applicability in prediction of microbial gene expressivity.

Fran Supek, Kristian Vlahovicek

BMC Bioinform., 2005

2004

INCA: synonymous codon usage analysis and clustering by means of self-organizing map.

Fran Supek, Kristian Vlahovicek

Bioinform., 2004