Clustering, Assessment and Validation: an application to gene expression data. - Angelo Ciaramella; Sergio Cocozza; Francesco Iorio; Gennaro Miele; Francesco Napolitano; Michele Pinelli; Giancarlo Raiconi; Roberto Tagliaferri (IJCNN, 2007)

An Interactive Tool for Data Visualization and Clustering. - Francesco Iorio; Gennaro Miele; Francesco Napolitano; Giancarlo Raiconi; Roberto Tagliaferri (KES (3), 2007)

PCA Based Feature Selection Applied to the Analysis of the International Variation in Diet. - Faraz Bishehsari; Mahboobeh Mahdavinia; Reza Malekzadeh; Renato Mariani-Costantini; Gennaro Miele; Francesco Napolitano; Giancarlo Raiconi; Roberto Tagliaferri; Fabio Verginelli (WILF, 2007)

Robust Clustering by Aggregation and Intersection Methods. - Ida Bifulco; Carmine Fedullo; Francesco Napolitano; Giancarlo Raiconi; Roberto Tagliaferri (KES (3), 2008)

Using Global Optimization to Explore Multiple Solutions of Clustering Problems. - Ida Bifulco; Loredana Murino; Francesco Napolitano; Giancarlo Raiconi; Roberto Tagliaferri (KES (3), 2008)

Interactive Visualization Tools for Meta-Clustering. - Ida Bifulco; Francesco Iorio; Francesco Napolitano; Giancarlo Raiconi; Roberto Tagliaferri (WIRN, 2008)

Clustering and visualization approaches for human cell cycle gene expression data analysis. - Francesco Napolitano; Giancarlo Raiconi; Roberto Tagliaferri; Angelo Ciaramella; Antonino Staiano; Gennaro Miele (Int. J. Approx. Reason., 2008)

Interactive data analysis and clustering of genomic data. - Angelo Ciaramella; Sergio Cocozza; Francesco Iorio; Gennaro Miele; Francesco Napolitano; Michele Pinelli; Giancarlo Raiconi; Roberto Tagliaferri (Neural Networks, 2008)

Global optimization, Meta Clustering and consensus clustering for class prediction. - Ida Bifulco; Carmine Fedullo; Francesco Napolitano; Giancarlo Raiconi; Roberto Tagliaferri (IJCNN, 2009)

Metaclustering and Consensus Algorithms for Interactive Data Analysis and Validation. - Ida Bifulco; Carmine Fedullo; Francesco Napolitano; Giancarlo Raiconi; Roberto Tagliaferri (WILF, 2009)

Multiple data structure discovery through global optimisation, meta clustering and consensus methods. - Ida Bifulco; Carmine Fedullo; Francesco Napolitano; Giancarlo Raiconi; Roberto Tagliaferri (Int. J. Knowl. Eng. Soft Data Paradigms, 2009)

A scalable reference-point based algorithm to efficiently search large chemical databases. - Francesco Napolitano; Roberto Tagliaferri; Pierre Baldi (IJCNN, 2010)

Data Mining in Cancer Research [Application Notes]. - Paulo J. G. Lisboa; Alfredo Vellido; Roberto Tagliaferri; Francesco Napolitano; Michele Ceccarelli; José David Martín-Guerrero; Elia Biganzoli (IEEE Comput. Intell. Mag., 2010)

Supporting the Design, Communication and Management of Bioinformatic Protocols through the Leaf Tool. - Francesco Napolitano; Roberto Tagliaferri (CIBB, 2011)

An Adaptive Reference Point Approach to Efficiently Search Large Chemical Databases. - Francesco Napolitano; Roberto Tagliaferri; Pierre Baldi (WIRN, 2013)

Bioinformatic pipelines in Python with leaf. - Francesco Napolitano; Renato Mariani-Costantini; Roberto Tagliaferri (BMC Bioinform., 2013)

Drug Repositioning: A Machine-Learning Approach through Data Integration. - Francesco Napolitano; Yan Zhao; Vania M. Moreira; Roberto Tagliaferri; Juha Kere; Mauro D'Amato; Dario Greco (J. Cheminformatics, 2013)

An improved combinatorial biclustering algorithm. - Ekaterina Nosova; Francesco Napolitano; Roberto Amato; Sergio Cocozza; Gennaro Miele; Giancarlo Raiconi; Roberto Tagliaferri (Neural Comput. Appl., 2013)

Consensus Clustering in Gene Expression. - Paola Galdi; Francesco Napolitano; Roberto Tagliaferri (CIBB, 2014)

Mantra 2.0: an online collaborative resource for drug mode of action and repurposing by network analysis. - Diego Carrella; Francesco Napolitano; Rossella Rispoli; Mario Miglietta; Annamaria Carissimo; Luisa Cutillo; Francesco Sirci; Francesco Gregoretti; Diego di Bernardo (Bioinform., 2014)

Ensemble Entropy for Monitoring Network Design. - Leonardo Alfonso; Elena Ridolfi; Sandra Gaytan-Aguilar; Francesco Napolitano; Fabio Russo (Entropy, 2014)

Drug-set enrichment analysis: a novel tool to investigate drug mode of action. - Francesco Napolitano; Francesco Sirci; Diego Carrella; Diego di Bernardo (Bioinform., 2016)

repo: an R package for data-centered management of bioinformatic pipelines. - Francesco Napolitano (BMC Bioinform., 2017)

gene2drug: a computational tool for pathway-based rational drug repositioning. - Francesco Napolitano; Diego Carrella; Barbara Mandriani; Sandra Pisonero-Vaquero; Francesco Sirci; Diego L. Medina; Nicola Brunetti-Pierri; Diego di Bernardo (Bioinform., 2018)

Automated Counting of Colony Forming Units Using Deep Transfer Learning From a Model for Congested Scenes Analysis. - Somayah Albaradei; Francesco Napolitano; Mahmut Uludag; Maha A. Thafar; Sara Napolitano; Magbubah Essack; Vladimir B. Bajic; Xin Gao 001 (IEEE Access, 2020)

A Siamese neural network model for the prioritization of metabolic disorders by integrating real and simulated data. - Gian Marco Messa; Francesco Napolitano; Sarah H. Elsea; Diego di Bernardo; Xin Gao 001 (Bioinform., 2020)

gep2pep: a bioconductor package for the creation and analysis of pathway-based expression profiles. - Francesco Napolitano; Diego Carrella; Xin Gao 001; Diego di Bernardo (Bioinform., 2020)

Bio-Lightweight Structures by 3D Foam Printing. - Daniele Tammaro; Andrea Lorenzo Henry Detry; Luca Landonfi; Francesco Napolitano; Massimiliano Maria Villone; Pier Luca Maffettone; Antonino Squillace (RTSI, 2021)

CSCoV: Computational Studies about COVID-19. - Francesco Napolitano; Xiaopeng Xu; Xin Gao 001 (Zenodo, 2021)

CSCoV: Computational Studies about COVID-19. - Francesco Napolitano; Xiaopeng Xu; Xin Gao 001 (Zenodo, 2021)

Fighting COVID-19 with computational tools: an AI guided review of 17,000 studies - The CSCoV database. - Francesco Napolitano; Xiaopeng Xu; Xin Gao 001 (Zenodo, 2021)

Fighting COVID-19 with computational tools: an AI guided review of 17,000 studies - The CSCoV database. - Francesco Napolitano; Xiaopeng Xu; Xin Gao 001 (Zenodo, 2021)

Fighting COVID-19 with computational tools: an AI guided review of 17,000 studies - The CSCoV database. - Francesco Napolitano; Xiaopeng Xu; Xin Gao 001 (Zenodo, 2021)

Fighting COVID-19 with computational tools: an AI guided review of 17,000 studies - The CSCoV database. - Francesco Napolitano; Xiaopeng Xu; Xin Gao 001 (Zenodo, 2021)

Fighting COVID-19 with computational tools: an AI guided review of 17,000 studies - The CSCoV database. - Francesco Napolitano; Xiaopeng Xu; Xin Gao 001 (Zenodo, 2021)

Fighting COVID-19 with computational tools: an AI guided review of 17,000 studies - The CSCoV database. - Francesco Napolitano; Xiaopeng Xu; Xin Gao 001 (Zenodo, 2021)

Fighting COVID-19 with computational tools: an AI guided review of 17,000 studies - The CSCoV database. - Francesco Napolitano; Xiaopeng Xu; Xin Gao 001 (Zenodo, 2021)

Fighting COVID-19 with computational tools: an AI guided review of 17,000 studies - The CSCoV database. - Francesco Napolitano; Xiaopeng Xu; Xin Gao 001 (Zenodo, 2021)

Impact of computational approaches in the fight against COVID-19: an AI guided review of 17 000 studies. - Francesco Napolitano; Xiaopeng Xu; Xin Gao 001 (Briefings Bioinform., 2022)

Special issue on computational biology and bioinformatic applications to the COVID-19 pandemic. - Francesco Napolitano; Xin Gao 001 (Quant. Biol., 2022)

A user-friendly software for modelling extreme values: EXTRASTAR (EXTRemes Abacus for STAtistical Regionalization). - Davide Luciano De Luca; Francesco Napolitano (Environ. Model. Softw., 2023)

Novel Approaches for Spatially Resolving Gene Responses and Injection Site Localization in Transcriptomic Data. - Antonio Ammendola; Felicita Masone; Luigi Cerulo; Francesco Napolitano (CIBB, 2024)

Identification of Differential Alternative Splicing Events: Assessing Tools Performance with Different Sequencing Parameters. - Luca Faretra; Antonio Ammendola; Massimo Pancione; Francesco Napolitano; Luigi Cerulo (CIBB, 2024)

AI identifies potent inducers of breast cancer stem cell differentiation based on adversarial learning from gene expression data. - Zhongxiao Li; Antonella Napolitano; Monica Fedele; Xin Gao 001; Francesco Napolitano (Briefings Bioinform., 2024)

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