Transcriptome dynamics-based operon prediction in prokaryotes. - Vittorio Fortino; Olli-Pekka Smolander; Petri Auvinen; Roberto Tagliaferri; Dario Greco (BMC Bioinform., 2014)

BACA: bubble chArt to compare annotations. - Vittorio Fortino; Harri Alenius; 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)

MVDA: a multi-view genomic data integration methodology. - Angela Serra; Michele Fratello; Vittorio Fortino; Giancarlo Raiconi; Roberto Tagliaferri; Dario Greco (BMC Bioinform., 2015)

CONDOP: an R package for CONdition-Dependent Operon Predictions. - Vittorio Fortino; Roberto Tagliaferri; Dario Greco (Bioinform., 2016)

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)

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)

An omics perspective on drug target discovery platforms. - Jussi Paananen; Vittorio Fortino (Briefings Bioinform., 2020)

ThETA: transcriptome-driven efficacy estimates for gene-based TArget discovery. - Mario Failli; Jussi Paananen; Vittorio Fortino (Bioinform., 2020)

Feature set optimization in biomarker discovery from genome-scale data. - Vittorio Fortino; Giovanni Scala; Dario Greco (Bioinform., 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)

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)

Network approaches for modeling the effect of drugs and diseases. - Teemu J. Rintala; Arindam Ghosh; Vittorio Fortino (Briefings Bioinform., 2022)

Improved NSGA-II algorithms for multi-objective biomarker discovery. - Luca Cattelani; Vittorio Fortino (Bioinform., 2022)

EDTox: an R Shiny application to predict the endocrine disruption potential of compounds. - Amirhossein Sakhteman; Arindam Ghosh; Vittorio Fortino (Bioinform., 2022)

Multi-Objective Genetic Algorithm for Multi-View Feature Selection. - Vandad Imani; Carlos Sevilla-Salcedo; Vittorio Fortino; Jussi Tohka (CoRR, 2023)

DOSA-MO: Dual-stage Optimizer for Systematic overestimation Adjustment in Multi-Objective problems improves biomarker discovery. - Luca Cattelani; Vittorio Fortino (CoRR, 2023)

Optimizing Feature Selection for Binary Classification with Noisy Labels: A Genetic Algorithm Approach. - Vandad Imani; Elaheh Moradi; Carlos Sevilla-Salcedo; Vittorio Fortino; Jussi Tohka (ACR, 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)

Dual-stage optimizer for systematic overestimation adjustment applied to multi-objective genetic algorithms for biomarker selection. - Luca Cattelani; Vittorio Fortino (Briefings Bioinform., 2024)

Multi-task deep latent spaces for cancer survival and drug sensitivity prediction. - Teemu J. Rintala; Francesco Napolitano; Vittorio Fortino (Bioinform., 2024)

Triple and quadruple optimization for feature selection in cancer biomarker discovery. - Luca Cattelani; Vittorio Fortino (J. Biomed. Informatics, 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)

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)