Vittorio Fortino

According to our database, Vittorio Fortino authored at least 23 papers between 2014 and 2024.

Collaborative distances:

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

2024

A Comprehensive Evaluation Framework for Benchmarking Multi-Objective Feature Selection in Omics-Based Biomarker Discovery.

Luca Cattelani, Arindam Ghosh, Teemu J. Rintala, Vittorio Fortino

IEEE ACM Trans. Comput. Biol. Bioinform., 2024

COPS: A novel platform for multi-omic disease subtype discovery via robust multi-objective evaluation of clustering algorithms.

Teemu J. Rintala, Vittorio Fortino

PLoS Comput. Biol., 2024

Triple and quadruple optimization for feature selection in cancer biomarker discovery.

Luca Cattelani, Vittorio Fortino

J. Biomed. Informatics, 2024

Multi-task deep latent spaces for cancer survival and drug sensitivity prediction.

Teemu J. Rintala, Francesco Napolitano, Vittorio Fortino

Bioinform., 2024

Multi-objective genetic algorithm for multi-view feature selection.

Vandad Imani, Carlos Sevilla-Salcedo, Elaheh Moradi, Vittorio Fortino, Jussi Tohka

Appl. Soft Comput., 2024

Optimizing Feature Selection for Binary Classification with Noisy Labels: A Genetic Algorithm Approach.

Vandad Imani, Elaheh Moradi, Carlos Sevilla-Salcedo, Vittorio Fortino, Jussi Tohka

Proceedings of the Second International Conference on Advances in Computing Research, 2024

2023

DOSA-MO: Dual-stage Optimizer for Systematic overestimation Adjustment in Multi-Objective problems improves biomarker discovery.

Luca Cattelani, Vittorio Fortino

CoRR, 2023

Multi-Objective Genetic Algorithm for Multi-View Feature Selection.

Vandad Imani, Carlos Sevilla-Salcedo, Vittorio Fortino, Jussi Tohka

CoRR, 2023

2022

EDTox: an R Shiny application to predict the endocrine disruption potential of compounds.

Amirhossein Sakhteman, Arindam Ghosh, Vittorio Fortino

Bioinform., 2022

Improved NSGA-II algorithms for multi-objective biomarker discovery.

Luca Cattelani, Vittorio Fortino

Bioinform., 2022

Network approaches for modeling the effect of drugs and diseases.

Teemu J. Rintala, Arindam Ghosh, Vittorio Fortino

Briefings Bioinform., 2022

2021

A systematic comparison of data- and knowledge-driven approaches to disease subtype discovery.

Teemu J. Rintala, Antonio Federico, Leena Latonen, Dario Greco, Vittorio Fortino

Briefings Bioinform., 2021

2020

MaNGA: a novel multi-niche multi-objective genetic algorithm for QSAR modelling.

Angela Serra, Serli Önlü, Paola Festa, Vittorio Fortino, Dario Greco

Bioinform., 2020

Feature set optimization in biomarker discovery from genome-scale data.

Vittorio Fortino, Giovanni Scala, Dario Greco

Bioinform., 2020

ThETA: transcriptome-driven efficacy estimates for gene-based TArget discovery.

Mario Failli, Jussi Paananen, Vittorio Fortino

Bioinform., 2020

An omics perspective on drug target discovery platforms.

Jussi Paananen, Vittorio Fortino

Briefings Bioinform., 2020

2019

eUTOPIA: solUTion for Omics data PreprocessIng and Analysis.

Veer Singh Marwah, Giovanni Scala, Pia Anneli Sofia Kinaret, Angela Serra, Harri Alenius, Vittorio Fortino, Dario Greco

Source Code Biol. Medicine, 2019

2018

INfORM: Inference of NetwOrk Response Modules.

Veer Singh Marwah, Pia Anneli Sofia Kinaret, Angela Serra, Giovanni Scala, Antti Lauerma, Vittorio Fortino, Dario Greco

Bioinform., 2018

2016

CONDOP: an R package for CONdition-Dependent Operon Predictions.

Vittorio Fortino, Roberto Tagliaferri, Dario Greco

Bioinform., 2016

2015

MVDA: a multi-view genomic data integration methodology.

Angela Serra, Michele Fratello, Vittorio Fortino, Giancarlo Raiconi, Roberto Tagliaferri, Dario Greco

BMC Bioinform., 2015

A multi-view genomic data simulator.

Michele Fratello, Angela Serra, Vittorio Fortino, Giancarlo Raiconi, Roberto Tagliaferri, Dario Greco

BMC Bioinform., 2015

BACA: bubble chArt to compare annotations.

Vittorio Fortino, Harri Alenius, Dario Greco

BMC Bioinform., 2015

2014

Transcriptome dynamics-based operon prediction in prokaryotes.

Vittorio Fortino, Olli-Pekka Smolander, Petri Auvinen, Roberto Tagliaferri, Dario Greco

BMC Bioinform., 2014