Fran Supek

发表

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

Kristian Vlahovicek, Fran Supek, F. Supek, 2004, Bioinform..

Phenotype Inference from Text and Genomic Data

Tomislav Smuc, Maria Brbic, Vedrana Vidulin, 2017, ECML/PKDD.

Visualizing Gene Ontology annotations

Fran Supek, Nives Škunca, N. Skunca, 2016 .

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

Kristian Vlahovicek, Fran Supek, F. Supek, 2005, BMC Bioinformatics.

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

Ben Lehner, Tobias Warnecke, Fran Supek, 2012, PLoS Comput. Biol..

Extensive complementarity between gene function prediction methods

Tomislav Smuc, Vedrana Vidulin, Fran Supek, 2016, Bioinform..

An XML format for peptide datasets

Jelena Repar, Tomislav Šmuc, Fran Supek, 2008, ECCB 2008.

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

Saso Dzeroski, Tomislav Smuc, Pance Panov, 2013, PLoS Comput. Biol..

Redundancy Elimination and Visualization of Gene Ontology Term Lists

Fran Supek, Nives Škunca, Tomislav Šmuc, 2010, ISMB 2010.

Passenger mutations accurately classify human tumors

Fran Supek, Marina Salvadores, David Mas-Ponte, 2019, PLoS Comput. Biol..

Distance measures and machine learning approaches for codon usage analyses

Tomislav Šmuc, Fran Supek, 2012 .

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

Kristian Vlahovicek, Fran Supek, 2010, BMC Bioinform..

Semi-Supervised Learning for Quantitative Structure-Activity Modeling

Saso Dzeroski, Tomislav Smuc, Fran Supek, 2013, Informatica.

Functional annotation of orthologous groups by using hierarchical multi label classification

Tomislav Šmuc, Fran Supek, Panče Panov, 2009, ISMB 2009.

Phenotype Prediction with Semi-supervised Classification Trees

Saso Dzeroski, Dragi Kocev, Tomislav Smuc, 2017, NFMCP@PKDD/ECML.

The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens

Tapio Salakoski, Feng Zhang, Paolo Fontana, 2019, Genome Biology.

Evaluation of fusion approaches in large-scale bio-annotation setting

Tomislav Šmuc, Vedrana Vidulin, Fran Supek, 2016 .

GORBI: Web application for the prediction of a protein's functional context

Jelena Repar, Tomislav Šmuc, Fran Supek, 2010 .

An expanded evaluation of protein function prediction methods shows an improvement in accuracy

Tapio Salakoski, Paolo Fontana, Silvio C. E. Tosatto, 2016, Genome Biology.

Phenotype prediction with semi-supervised learning

Sašo Džeroski, Dragi Kocev, Tomislav Šmuc, 2017, PKDD 2017.

On Relevance of Codon Usage to Expression of Synthetic and Natural Genes in Escherichia coli

Fran Supek, F. Supek, Tomislav \#352;muc, 2010, Genetics.

Atypical cytostatic mechanism of N-1-sulfonylcytosine derivatives determined by in vitro screening and computational analysis

Tomislav Šmuc, Fran Supek, Marko Marjanović, 2007, Investigational New Drugs.

Proteome sequence features carry signatures of the environmental niche of prokaryotes

Tomislav Šmuc, Fran Supek, Ivo F Sbalzarini, 2011, BMC Evolutionary Biology.

The landscape of microbial phenotypic traits and associated genes

Tomislav Šmuc, Vedrana Vidulin, Fran Supek, 2016, Nucleic acids research.

Putative mechanisms of antitumor activity of cyano-substituted heteroaryles in HeLa cells

Tomislav Šmuc, Fran Supek, Marko Marjanović, 2010, Investigational New Drugs.

Accurate models for P-gp drug recognition induced from a cancer cell line cytotoxicity screen.

Tomislav Šmuc, Fran Supek, Jurica Levatić, 2013, Journal of medicinal chemistry.

Translational Selection Is Ubiquitous in Prokaryotes

Jelena Repar, Tomislav Šmuc, Fran Supek, 2010, PLoS genetics.

Inferring gene function from evolutionary change in signatures of translation efficiency

Ben Lehner, Toni Gabaldón, Fran Supek, 2014, Genome Biology.

The impact of nonsense-mediated mRNA decay on genetic disease, gene editing and cancer immunotherapy

Ben Lehner, Fran Supek, F. Supek, 2019, Nature Genetics.

Enhanced analytical power of SDS‐PAGE using machine learning algorithms

Tomislav Smuc, Marijana Krsnik-Rasol, Fran Supek, 2008, Proteomics.

Differential DNA mismatch repair underlies mutation rate variation across the human genome

Ben Lehner, Fran Supek, F. Supek, 2015, Nature.

The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens

Jari Björne, Tapio Salakoski, Giorgio Valentini, 2019, Genome Biology.

Global Shifts in Genome and Proteome Composition Are Very Tightly Coupled

Tobias Warnecke, Fran Supek, Maria Brbić, 2015, Genome biology and evolution.

Hydroxymethylated Cytosines Are Associated with Elevated C to G Transversion Rates

Ben Lehner, Tobias Warnecke, Fran Supek, 2014, PLoS genetics.

Whole genome DNA sequencing provides an atlas of somatic mutagenesis in healthy human cells and identifies a tumor-prone cell type

Malin Larsson, Fran Supek, Peter Stenvinkel, 2019, Genome Biology.