Francesco Napolitano

Orcid: 0000-0002-7782-8506

According to our database1, Francesco Napolitano authored at least 30 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
A user-friendly software for modelling extreme values: EXTRASTAR (EXTRemes Abacus for STAtistical Regionalization).
Environ. Model. Softw., March, 2023

2022
Special issue on computational biology and bioinformatic applications to the COVID-19 pandemic.
Quant. Biol., 2022

Impact of computational approaches in the fight against COVID-19: an AI guided review of 17 000 studies.
Briefings Bioinform., 2022

2021
Bio-Lightweight Structures by 3D Foam Printing.
Proceedings of the 6th IEEE International Forum on Research and Technology for Society and Industry, 2021

2020
gep2pep: a bioconductor package for the creation and analysis of pathway-based expression profiles.
Bioinform., 2020

Automated Counting of Colony Forming Units Using Deep Transfer Learning From a Model for Congested Scenes Analysis.
IEEE Access, 2020

2018
gene2drug: a computational tool for pathway-based rational drug repositioning.
Bioinform., 2018

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

2016
Drug-set enrichment analysis: a novel tool to investigate drug mode of action.
Bioinform., 2016

2014
Ensemble Entropy for Monitoring Network Design.
Entropy, 2014

Mantra 2.0: an online collaborative resource for drug mode of action and repurposing by network analysis.
Bioinform., 2014

Consensus Clustering in Gene Expression.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2014

2013
An improved combinatorial biclustering algorithm.
Neural Comput. Appl., 2013

Drug Repositioning: A Machine-Learning Approach through Data Integration.
J. Cheminformatics, 2013

Bioinformatic pipelines in Python with leaf.
BMC Bioinform., 2013

An Adaptive Reference Point Approach to Efficiently Search Large Chemical Databases.
Proceedings of the Recent Advances of Neural Network Models and Applications, 2013

2011
Supporting the Design, Communication and Management of Bioinformatic Protocols through the Leaf Tool.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2011

2010
Data Mining in Cancer Research [Application Notes].
IEEE Comput. Intell. Mag., 2010

A scalable reference-point based algorithm to efficiently search large chemical databases.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
Multiple data structure discovery through global optimisation, meta clustering and consensus methods.
Int. J. Knowl. Eng. Soft Data Paradigms, 2009

Metaclustering and Consensus Algorithms for Interactive Data Analysis and Validation.
Proceedings of the Fuzzy Logic and Applications, 8th International Workshop, 2009

Global optimization, Meta Clustering and consensus clustering for class prediction.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
Interactive data analysis and clustering of genomic data.
Neural Networks, 2008

Clustering and visualization approaches for human cell cycle gene expression data analysis.
Int. J. Approx. Reason., 2008

Interactive Visualization Tools for Meta-Clustering.
Proceedings of the New Directions in Neural Networks, 2008

Using Global Optimization to Explore Multiple Solutions of Clustering Problems.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

Robust Clustering by Aggregation and Intersection Methods.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

2007
PCA Based Feature Selection Applied to the Analysis of the International Variation in Diet.
Proceedings of the Applications of Fuzzy Sets Theory, 2007

An Interactive Tool for Data Visualization and Clustering.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

Clustering, Assessment and Validation: an application to gene expression data.
Proceedings of the International Joint Conference on Neural Networks, 2007


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