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Francesco Napolitano
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2020 – today
- 2023
- [j17]Davide Luciano De Luca
, Francesco Napolitano:
A user-friendly software for modelling extreme values: EXTRASTAR (EXTRemes Abacus for STAtistical Regionalization). Environ. Model. Softw. 161: 105622 (2023) - 2022
- [j16]Francesco Napolitano, Xiaopeng Xu
Impact of computational approaches in the fight against COVID-19: an AI guided review of 17 000 studies. Briefings Bioinform. 23(1) (2022) - [j15]Francesco Napolitano, Xin Gao:
Special issue on computational biology and bioinformatic applications to the COVID-19 pandemic. Quant. Biol. 10(2): 123 (2022) - 2021
- [c13]Daniele Tammaro
Bio-Lightweight Structures by 3D Foam Printing. RTSI 2021: 47-51 - [d10]Francesco Napolitano
CSCoV: Computational Studies about COVID-19. Zenodo, 2021 - [d9]Francesco Napolitano
CSCoV: Computational Studies about COVID-19. Zenodo, 2021 - [d8]Francesco Napolitano
Fighting COVID-19 with computational tools: an AI guided review of 17,000 studies - The CSCoV database. Zenodo, 2021 - [d7]Francesco Napolitano
Fighting COVID-19 with computational tools: an AI guided review of 17,000 studies - The CSCoV database. Zenodo, 2021 - [d6]Francesco Napolitano
Fighting COVID-19 with computational tools: an AI guided review of 17,000 studies - The CSCoV database. Zenodo, 2021 - [d5]Francesco Napolitano
Fighting COVID-19 with computational tools: an AI guided review of 17,000 studies - The CSCoV database. Zenodo, 2021 - [d4]Francesco Napolitano
Fighting COVID-19 with computational tools: an AI guided review of 17,000 studies - The CSCoV database. Zenodo, 2021 - [d3]Francesco Napolitano
Fighting COVID-19 with computational tools: an AI guided review of 17,000 studies - The CSCoV database. Zenodo, 2021 - [d2]Francesco Napolitano
Fighting COVID-19 with computational tools: an AI guided review of 17,000 studies - The CSCoV database. Zenodo, 2021 - [d1]Francesco Napolitano
Fighting COVID-19 with computational tools: an AI guided review of 17,000 studies - The CSCoV database. Zenodo, 2021 - 2020
- [j14]Somayah Albaradei
Automated Counting of Colony Forming Units Using Deep Transfer Learning From a Model for Congested Scenes Analysis. IEEE Access 8: 164340-164346 (2020) - [j13]Francesco Napolitano
gep2pep: a bioconductor package for the creation and analysis of pathway-based expression profiles. Bioinform. 36(6): 1944-1945 (2020)
2010 – 2019
- 2018
- [j12]Francesco Napolitano, Diego Carrella, Barbara Mandriani
gene2drug: a computational tool for pathway-based rational drug repositioning. Bioinform. 34(9): 1498-1505 (2018) - 2017
- [j11]Francesco Napolitano
repo: an R package for data-centered management of bioinformatic pipelines. BMC Bioinform. 18(1): 112:1-112:9 (2017) - 2016
- [j10]Francesco Napolitano
Drug-set enrichment analysis: a novel tool to investigate drug mode of action. Bioinform. 32(2): 235-241 (2016) - 2014
- [j9]Diego Carrella, Francesco Napolitano
Mantra 2.0: an online collaborative resource for drug mode of action and repurposing by network analysis. Bioinform. 30(12): 1787-1788 (2014) - [j8]Leonardo Alfonso
Ensemble Entropy for Monitoring Network Design. Entropy 16(3): 1365-1375 (2014) - [c12]Paola Galdi
Consensus Clustering in Gene Expression. CIBB 2014: 57-67 - 2013
- [j7]Francesco Napolitano
Bioinformatic pipelines in Python with leaf. BMC Bioinform. 14: 201 (2013) - [j6]Francesco Napolitano
Drug Repositioning: A Machine-Learning Approach through Data Integration. J. Cheminformatics 5: 30 (2013) - [j5]Ekaterina Nosova, Francesco Napolitano
An improved combinatorial biclustering algorithm. Neural Comput. Appl. 22(Supplement-1): 293-302 (2013) - [c11]Francesco Napolitano
An Adaptive Reference Point Approach to Efficiently Search Large Chemical Databases. WIRN 2013: 63-74 - 2011
- [c10]Francesco Napolitano
Supporting the Design, Communication and Management of Bioinformatic Protocols through the Leaf Tool. CIBB 2011: 226-237 - 2010
- [j4]Paulo J. G. Lisboa, Alfredo Vellido
Data Mining in Cancer Research [Application Notes]. IEEE Comput. Intell. Mag. 5(1): 14-18 (2010) - [c9]Francesco Napolitano
A scalable reference-point based algorithm to efficiently search large chemical databases. IJCNN 2010: 1-6
2000 – 2009
- 2009
- [j3]Ida Bifulco, Carmine Fedullo, Francesco Napolitano, Giancarlo Raiconi, Roberto Tagliaferri:
Multiple data structure discovery through global optimisation, meta clustering and consensus methods. Int. J. Knowl. Eng. Soft Data Paradigms 1(4): 300-317 (2009) - [c8]Ida Bifulco
Global optimization, Meta Clustering and consensus clustering for class prediction. IJCNN 2009: 332-339 - [c7]Ida Bifulco
Metaclustering and Consensus Algorithms for Interactive Data Analysis and Validation. WILF 2009: 163-170 - 2008
- [j2]Francesco Napolitano
Clustering and visualization approaches for human cell cycle gene expression data analysis. Int. J. Approx. Reason. 47(1): 70-84 (2008) - [j1]Angelo Ciaramella
Interactive data analysis and clustering of genomic data. Neural Networks 21(2-3): 368-378 (2008) - [c6]Ida Bifulco, Loredana Murino, Francesco Napolitano, Giancarlo Raiconi
Using Global Optimization to Explore Multiple Solutions of Clustering Problems. KES (3) 2008: 724-731 - [c5]Ida Bifulco, Carmine Fedullo, Francesco Napolitano, Giancarlo Raiconi
Robust Clustering by Aggregation and Intersection Methods. KES (3) 2008: 732-739 - [c4]Ida Bifulco
Interactive Visualization Tools for Meta-Clustering. WIRN 2008: 223-231 - 2007
- [c3]Angelo Ciaramella
Clustering, Assessment and Validation: an application to gene expression data. IJCNN 2007: 1613-1618 - [c2]Francesco Iorio, Gennaro Miele, Francesco Napolitano, Giancarlo Raiconi
An Interactive Tool for Data Visualization and Clustering. KES (3) 2007: 870-877 - [c1]Faraz Bishehsari, Mahboobeh Mahdavinia, Reza Malekzadeh, Renato Mariani-Costantini, Gennaro Miele, Francesco Napolitano, Giancarlo Raiconi
PCA Based Feature Selection Applied to the Analysis of the International Variation in Diet. WILF 2007: 551-556
Coauthor Index
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