Soft Topographic Map for Clustering and Classification of Bacteria. - Massimo La Rosa; Giuseppe Di Fatta; Salvatore Gaglio; Giovanni M. Giammanco; Riccardo Rizzo; Alfonso Urso (IDA, 2007)

Comparison of Genomic Sequences Clustering Using Normalized Compression Distance and Evolutionary Distance. - Massimo La Rosa; Riccardo Rizzo; Alfonso Urso; Salvatore Gaglio (KES (3), 2008)

A Proposed Knowledge Based Approach for Solving Proteomics Issues. - Antonino Fiannaca; Salvatore Gaglio; Massimo La Rosa; Daniele Peri; Riccardo Rizzo; Alfonso Urso (CIBB, 2009)

Normalised compression distance and evolutionary distance of genomic sequences: comparison of clustering results. - Massimo La Rosa; Salvatore Gaglio; Riccardo Rizzo; Alfonso Urso (Int. J. Knowl. Eng. Soft Data Paradigms, 2009)

A Knowledge Based Decision Support System for Bioinformatics and System Biology. - Antonino Fiannaca; Salvatore Gaglio; Massimo La Rosa; Daniele Peri; Riccardo Rizzo; Alfonso Urso (CIBB, 2010)

Soft Topographic Maps for Clustering and Classifying Bacteria Using Housekeeping Genes. - Massimo La Rosa; Riccardo Rizzo; Alfonso Urso (Adv. Artif. Neural Syst., 2011)

An Intelligent System for Decision Support in Bioinformatics. - Antonino Fiannaca; Massimo La Rosa; Daniele Peri; Riccardo Rizzo (ERCIM News, 2011)

A Study of Compression-Based Methods for the Analysis of Barcode Sequences. - Massimo La Rosa; Antonino Fiannaca; Riccardo Rizzo; Alfonso Urso (CIBB, 2012)

An ontology design methodology for Knowledge-Based systems with application to bioinformatics. - Antonino Fiannaca; Massimo La Rosa; Salvatore Gaglio (CIBCB, 2012)

An Intelligent System for Building Bioinformatics Workflows. - Antonino Fiannaca; Salvatore Gaglio; Massimo La Rosa; Riccardo Rizzo; Alfonso Urso (CISIS, 2012)

Genomic Sequence Classification Using Probabilistic Topic Modeling. - Massimo La Rosa; Antonino Fiannaca; Riccardo Rizzo; Alfonso Urso (CIBB, 2013)

Analysis of DNA Barcode Sequences Using Neural Gas and Spectral Representation. - Antonino Fiannaca; Massimo La Rosa; Riccardo Rizzo; Alfonso Urso (EANN (2), 2013)

A knowledge-based decision support system in bioinformatics: an application to protein complex extraction. - Antonino Fiannaca; Massimo La Rosa; Alfonso Urso; Riccardo Rizzo; Salvatore Gaglio (BMC Bioinform., 2013)

Alignment-free analysis of barcode sequences by means of compression-based methods. - Massimo La Rosa; Antonino Fiannaca; Riccardo Rizzo; Alfonso Urso (BMC Bioinform., 2013)

The General Regression Neural Network to Classify Barcode and mini-barcode DNA. - Riccardo Rizzo; Antonino Fiannaca; Massimo La Rosa; Alfonso Urso (CIBB, 2014)

Knowledge organization for modelling workflows in Taverna environment. - Antonino Fiannaca; Massimo La Rosa; Salvatore Gaglio; Riccardo Rizzo; Alfonso Urso (MED, 2014)

An expert system hybrid architecture to support experiment management. - Antonino Fiannaca; Massimo La Rosa; Riccardo Rizzo; Alfonso Urso; Salvatore Gaglio (Expert Syst. Appl., 2014)

The BioDICE Taverna plugin for clustering and visualization of biological data: a workflow for molecular compounds exploration. - Antonino Fiannaca; Massimo La Rosa; Giuseppe Di Fatta; Salvatore Gaglio; Riccardo Rizzo; Alfonso Urso (J. Cheminformatics, 2014)

A Deep Learning Approach to DNA Sequence Classification. - Riccardo Rizzo; Antonino Fiannaca; Massimo La Rosa; Alfonso Urso (CIBB, 2015)

A k-mer-based barcode DNA classification methodology based on spectral representation and a neural gas network. - Antonino Fiannaca; Massimo La Rosa; Riccardo Rizzo; Alfonso Urso (Artif. Intell. Medicine, 2015)

Analysis of miRNA expression profiles in breast cancer using biclustering. - Antonino Fiannaca; Massimo La Rosa; Laura La Paglia; Riccardo Rizzo; Alfonso Urso (BMC Bioinform., 2015)

Probabilistic topic modeling for the analysis and classification of genomic sequences. - Massimo La Rosa; Antonino Fiannaca; Riccardo Rizzo; Alfonso Urso (BMC Bioinform., 2015)

A Problem-Driven Approach for Building a Bioinformatics GraphDB. - Antonino Fiannaca; Massimo La Rosa; Laura La Paglia; Antonio Messina; Riccardo Rizzo; Alfonso Urso (CIBB, 2016)

Classification Experiments of DNA Sequences by Using a Deep Neural Network and Chaos Game Representation. - Riccardo Rizzo; Antonino Fiannaca; Massimo La Rosa; Alfonso Urso (CompSysTech, 2016)

Integrated DB for Bioinformatics: A Case Study on Analysis of Functional Effect of MiRNA SNPs in Cancer. - Antonino Fiannaca; Laura La Paglia; Massimo La Rosa; Antonio Messina; Pietro Storniolo; Alfonso Urso (ITBAM, 2016)

A Deep Learning Model for Epigenomic Studies. - Giosuè Lo Bosco; Riccardo Rizzo; Antonino Fiannaca; Massimo La Rosa; Alfonso Urso (SITIS, 2016)

MiRNATIP: a SOM-based miRNA-target interactions predictor. - Antonino Fiannaca; Massimo La Rosa; Laura La Paglia; Riccardo Rizzo; Alfonso Urso (BMC Bioinform., 2016)

Gremlin Language for Querying the BiographDB Integrated Biological Database. - Antonino Fiannaca; Laura La Paglia; Massimo La Rosa; Antonio Messina; Riccardo Rizzo; Dario Stabile; Alfonso Urso (IWBBIO (1), 2017)

nRC: non-coding RNA Classifier based on structural features. - Antonino Fiannaca; Massimo La Rosa; Laura La Paglia; Riccardo Rizzo; Alfonso Urso (BioData Min., 2017)

Variable Ranking Feature Selection for the Identification of Nucleosome Related Sequences. - Giosuè Lo Bosco; Riccardo Rizzo; Antonino Fiannaca; Massimo La Rosa; Alfonso Urso (ADBIS (Short Papers and Workshops), 2018)

Identification of Key miRNAs in Regulation of PPI Networks. - Antonino Fiannaca; Laura La Paglia; Massimo La Rosa; Giosuè Lo Bosco; Riccardo Rizzo; Alfonso Urso (CIBB, 2018)

Deep learning models for bacteria taxonomic classification of metagenomic data. - Antonino Fiannaca; Laura La Paglia; Massimo La Rosa; Giosuè Lo Bosco; Giovanni Renda; Riccardo Rizzo; Salvatore Gaglio; Alfonso Urso (BMC Bioinform., 2018)

BioGraph: a web application and a graph database for querying and analyzing bioinformatics resources. - Antonio Messina; Antonino Fiannaca; Laura La Paglia; Massimo La Rosa; Alfonso Urso (BMC Syst. Biol., 2018)

MiRNA therapeutics based on logic circuits of biological pathways. - Valeria Boscaino; Antonino Fiannaca; Laura La Paglia; Massimo La Rosa; Riccardo Rizzo; Alfonso Urso (BMC Bioinform., 2019)

The 2017 Network Tools and Applications in Biology (NETTAB) workshop: aims, topics and outcomes. - Paolo Romano 001; Arnaud Céol; Andreas Dräger; Antonino Fiannaca; Rosalba Giugno; Massimo La Rosa; Luciano Milanesi; Ulrich Pfeffer; Riccardo Rizzo; Soo-Yong Shin; Junfeng Xia; Alfonso Urso (BMC Bioinform., 2019)

Data Mining: Classification and Prediction. - Alfonso Urso; Antonino Fiannaca; Massimo La Rosa; Valentina Ravì; Riccardo Rizzo (Encyclopedia of Bioinformatics and Computational Biology (1), 2019)

Data Mining: Prediction Methods. - Alfonso Urso; Antonino Fiannaca; Massimo La Rosa; Valentina Ravì; Riccardo Rizzo (Encyclopedia of Bioinformatics and Computational Biology (1), 2019)

miRTissue ce: extending miRTissue web service with the analysis of ceRNA-ceRNA interactions. - Antonino Fiannaca; Laura La Paglia; Massimo La Rosa; Riccardo Rizzo; Alfonso Urso (BMC Bioinform., 2020)

BITS2019: the sixteenth annual meeting of the Italian society of bioinformatics. - Alfonso Urso; Antonino Fiannaca; Massimo La Rosa; Laura La Paglia; Giosuè Lo Bosco; Riccardo Rizzo (BMC Bioinform., 2020)

A Gene Ontology-Driven Wide and Deep Learning Architecture for Cell-Type Classification from Single-Cell RNA-seq Data. - Gianmarco Coppola; Antonino Fiannaca; Massimo La Rosa; Laura La Paglia; Alfonso Urso; Salvatore Gaglio (EANN, 2022)

A Two-Step Feature Selection Radiomic Approach to Predict Molecular Outcomes in Breast Cancer. - Valentina Brancato; Nadia Brancati; Giusy Esposito; Massimo La Rosa; Carlo Cavaliere; Ciro Allarà; Valeria Romeo; Giuseppe De Pietro; Marco Salvatore; Marco Aiello 003; Mara Sangiovanni (Sensors, 2023)

GOWDL: gene ontology-driven wide and deep learning model for cell typing of scRNA-seq data. - Antonino Fiannaca; Massimo La Rosa; Laura La Paglia; Salvatore Gaglio; Alfonso Urso (Briefings Bioinform., 2023)

A Deep Learning Multi-omics Framework to Combine Microbiome and Metabolome Profiles for Disease Classification. - Andrea Licciardi; Antonino Fiannaca; Massimo La Rosa; Alfonso Urso; Laura La Paglia (ICANN (8), 2024)

A deep learning framework for disease classification integrating microbiome and metabolome: explaining multi-omics contribution. - Andrea Licciardi; Antonino Fiannaca; Massimo La Rosa; Alfonso Urso; Laura La Paglia (KES, 2024)

Explainable artificial intelligence models for key-metabolites identification in overweight subjects. - Isabella Mendolia; Antonino Fiannaca; Laura La Paglia; Alfonso Urso; Massimo La Rosa (KES, 2024)