Filippo Utro
Orcid: 0000-0003-3226-7642
According to our database1,
Filippo Utro
authored at least 41 papers
between 2007 and 2024.
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Online presence:
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Bibliography
2024
Briefings Bioinform., 2024
Hybrid Quantum-Classical Graph Neural Networks for Tumor Classification in Digital Pathology.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024
2023
Briefings Bioinform., March, 2023
2021
Algorithms, 2021
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2019
Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 1, 2019
DNA combinatorial messages and Epigenomics: The case of chromatin organization and nucleosome occupancy in eukaryotic genomes.
Theor. Comput. Sci., 2019
Linear Time Algorithms to Construct Populations Fitting Multiple Constraint Distributions at Genomic Scales.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
PLoS Comput. Biol., 2019
2018
In vitro versus in vivo compositional landscapes of histone sequence preferences in eucaryotic genomes.
Bioinform., 2018
Proceedings of the 18th International Workshop on Algorithms in Bioinformatics, 2018
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2018
2017
Foreword: Algorithms, Strings and Theoretical Approaches in the Big Data Era - Special Issue in Honor of the 60th Birthday of Professor Raffaele Giancarlo.
Theor. Comput. Sci., 2017
A Quantitative and Qualitative Characterization of k-mer Based Alignment-Free Phylogeny Construction.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2017
2016
The intrinsic combinatorial organization and information theoretic content of a sequence are correlated to the DNA encoded nucleosome organization of eukaryotic genomes.
Bioinform., 2016
Sampling ARG of multiple populations under complex configurations of subdivision and admixture.
Bioinform., 2016
2015
ValWorkBench: An open source Java library for cluster validation, with applications to microarray data analysis.
Comput. Methods Programs Biomed., 2015
Epigenomic <i>k</i>-mer dictionaries: shedding light on how sequence composition influences <i>in vivo</i> nucleosome positioning.
Bioinform., 2015
Proceedings of the Research in Computational Molecular Biology, 2015
2014
Effect of sampling on the extent and accuracy of the inferred genetic history of recombining genome.
Comput. Biol. Chem., 2014
Compressive biological sequence analysis and archival in the era of high-throughput sequencing technologies.
Briefings Bioinform., 2014
2013
Sum of parts is greater than the whole: inference of common genetic history of populations.
BMC Genom., 2013
A methodology to assess the intrinsic discriminative ability of a distance function and its interplay with clustering algorithms for microarray data analysis.
BMC Bioinform., 2013
Efficient <i>in silico</i> Chromosomal Representation of Populations via Indexing Ancestral Genomes.
Algorithms, 2013
Proceedings of the Models and Algorithms for Genome Evolution, 2013
2012
Algorithmic paradigms for stability-based cluster validity and model selection statistical methods, with applications to microarray data analysis.
Theor. Comput. Sci., 2012
Comput. Sci. Rev., 2012
The Chromatin Organization of an Eukaryotic Genome : Sequence Specific+ Statistical=Combinatorial (Extended Abstract)
CoRR, 2012
<i>GenomicTools</i>: a computational platform for developing high-throughput analytics in genomics.
Bioinform., 2012
Stability-Based Model Selection for High Throughput Genomic Data: An Algorithmic Paradigm.
Proceedings of the Artificial Immune Systems - 11th International Conference, 2012
2011
CoRR, 2011
Algorithms Mol. Biol., 2011
2010
Functional Information, Biomolecular Messages and Complexity of BioSequences and Structures.
Proceedings of the Structure Discovery in Biology: Motifs, Networks & Phylogenies, 06.06., 2010
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2010
2009
2008
A Tutorial on Computational Cluster Analysis with Applications to Pattern Discovery in Microarray Data.
Math. Comput. Sci., 2008
Computational cluster validation for microarray data analysis: experimental assessment of Clest, Consensus Clustering, Figure of Merit, Gap Statistics and Model Explorer.
BMC Bioinform., 2008
2007