List of works - Matteo Re

A Hierarchical Ensemble Method for DAG-Structured Taxonomies

article

A Novel Ensemble Technique for Protein Subcellular Location Prediction

A fast ranking algorithm for predicting gene functions in biomolecular networks

scientific article published in November 2012

A high performance grid-web service framework for the identification of ‘conserved sequence tags’

A neural network algorithm for semi-supervised node label learning from unbalanced data

scientific article

A new strategy to identify novel genes and gene isoforms: Analysis of human chromosomes 15, 21 and 22.

scientific article

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

scientific article

An extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methods

scientific article

Cancer module genes ranking using kernelized score functions ⬇️

scientific article published on September 7, 2012

Comparing early and late data fusion methods for gene expression prediction

article

Detecting conserved coding genomic regions through signal processing of nucleotide substitution patterns

scientific article published on 21 September 2008

Ensemble Based Data Fusion for Gene Function Prediction

article

Imbalance-Aware Machine Learning for Predicting Rare and Common Disease-Associated Non-Coding Variants

scientific article

Integration of heterogeneous data sources for gene function prediction using decision templates and ensembles of learning machines

article

Large Scale Ranking and Repositioning of Drugs with Respect to DrugBank Therapeutic Categories

Network-based drug ranking and repositioning with respect to DrugBank therapeutic categories

scientific article published in November 2013

Prediction of Gene Function Using Ensembles of SVMs and Heterogeneous Data Sources

article

RANKS: a flexible tool for node label ranking and classification in biological networks

scientific article published on 2 June 2016

Random Walking on Functional Interaction Networks to Rank Genes Involved in Cancer

article

Regeneration-associated WNT signaling is activated in long-term reconstituting AC133bright acute myeloid leukemia cells.

scientific article published on December 2012

Synergy of multi-label hierarchical ensembles, data fusion, and cost-sensitive methods for gene functional inference

article

Think globally and solve locally: secondary memory-based network learning for automated multi-species function prediction

scientific article

List of works by Matteo Re

A Hierarchical Ensemble Method for DAG-Structured Taxonomies

A Novel Ensemble Technique for Protein Subcellular Location Prediction

A fast ranking algorithm for predicting gene functions in biomolecular networks

A high performance grid-web service framework for the identification of ‘conserved sequence tags’

A neural network algorithm for semi-supervised node label learning from unbalanced data

A new strategy to identify novel genes and gene isoforms: Analysis of human chromosomes 15, 21 and 22.

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

An extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methods

Cancer module genes ranking using kernelized score functions ⬇️

Comparing early and late data fusion methods for gene expression prediction

Detecting conserved coding genomic regions through signal processing of nucleotide substitution patterns

Ensemble Based Data Fusion for Gene Function Prediction

Imbalance-Aware Machine Learning for Predicting Rare and Common Disease-Associated Non-Coding Variants

Integration of heterogeneous data sources for gene function prediction using decision templates and ensembles of learning machines

Large Scale Ranking and Repositioning of Drugs with Respect to DrugBank Therapeutic Categories

Network-based drug ranking and repositioning with respect to DrugBank therapeutic categories

Prediction of Gene Function Using Ensembles of SVMs and Heterogeneous Data Sources

RANKS: a flexible tool for node label ranking and classification in biological networks

Random Walking on Functional Interaction Networks to Rank Genes Involved in Cancer

Regeneration-associated WNT signaling is activated in long-term reconstituting AC133bright acute myeloid leukemia cells.

Synergy of multi-label hierarchical ensembles, data fusion, and cost-sensitive methods for gene functional inference

Think globally and solve locally: secondary memory-based network learning for automated multi-species function prediction

Within network learning on big graphs using secondary memory-based random walk kernels