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Filippo Utro
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2020 – today
- 2023
- [j27]Kahn Rhrissorrakrai
, Filippo Utro
, Chaya Levovitz
, Laxmi Parida
:
Lesion Shedding Model: unraveling site-specific contributions to ctDNA. Briefings Bioinform. 24(2) (2023) - 2021
- [j26]Aritra Bose, Filippo Utro
, Daniel E. Platt, Laxmi Parida:
Multiple Loci Selection with Multi-Way Epistasis in Coalescence with Recombination. Algorithms 14(5): 136 (2021) - [c7]Sanjoy Dey, Aritra Bose, Subrata Saha, Prithwish Chakraborty, Mohamed F. Ghalwash, Filippo Utro, Aldo Guzmán-Sáenz, Kenney Ng, Jianying Hu, Laxmi Parida, Daby Sow:
Impact of Clinical and Genomic Factors on COVID-19 Disease Severity. AMIA 2021
2010 – 2019
- 2019
- [j25]Laxmi Parida
, Claudia Haferlach, Kahn Rhrissorrakrai
, Filippo Utro
, Chaya Levovitz, Wolfgang Kern
, Niroshan Nadarajah
, Sven Twardziok
, Stephan Hutter
, Manja Meggendorfer, Wencke Walter, Constance Baer, Torsten Haferlach:
Dark-matter matters: Discriminating subtle blood cancers using the darkest DNA. PLoS Comput. Biol. 15(8) (2019) - [j24]Enrico Siragusa
, Niina Haiminen
, Filippo Utro
, Laxmi Parida:
Linear Time Algorithms to Construct Populations Fitting Multiple Constraint Distributions at Genomic Scales. IEEE ACM Trans. Comput. Biol. Bioinform. 16(4): 1132-1142 (2019) - [j23]Raffaele Giancarlo, Simona E. Rombo, Filippo Utro
:
DNA combinatorial messages and Epigenomics: The case of chromatin organization and nucleosome occupancy in eukaryotic genomes. Theor. Comput. Sci. 792: 117-130 (2019) - [r1]Raffaele Giancarlo, Filippo Utro:
Computation Cluster Validation in the Big Data Era. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 449-455 - 2018
- [j22]Raffaele Giancarlo, Simona E. Rombo, Filippo Utro
:
In vitro versus in vivo compositional landscapes of histone sequence preferences in eucaryotic genomes. Bioinform. 34(20): 3454-3460 (2018) - [c6]Laxmi Parida
, Filippo Utro
:
Simultaneous Phasing of Multiple Polyploids. CIBB 2018: 50-68 - [c5]Saugata Basu, Filippo Utro
, Laxmi Parida:
Essential Simplices in Persistent Homology and Subtle Admixture Detection. WABI 2018: 14:1-14:10 - 2017
- [j21]Simona E. Rombo, Filippo Utro
:
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. 698: 1-3 (2017) - [c4]Filippo Utro
, Daniel E. Platt
, Laxmi Parida
:
A Quantitative and Qualitative Characterization of k-mer Based Alignment-Free Phylogeny Construction. CIBB 2017: 19-31 - 2016
- [j20]Filippo Utro
, Valeria Di Benedetto, Davide F. V. Corona, Raffaele Giancarlo:
The intrinsic combinatorial organization and information theoretic content of a sequence are correlated to the DNA encoded nucleosome organization of eukaryotic genomes. Bioinform. 32(6): 835-842 (2016) - [j19]Anna Paola Carrieri, Filippo Utro
, Laxmi Parida:
Sampling ARG of multiple populations under complex configurations of subdivision and admixture. Bioinform. 32(7): 1048-1056 (2016) - 2015
- [j18]Raffaele Giancarlo, Simona E. Rombo, Filippo Utro
:
Epigenomic k-mer dictionaries: shedding light on how sequence composition influences in vivo nucleosome positioning. Bioinform. 31(18): 2939-2946 (2015) - [j17]Raffaele Giancarlo, Davide Scaturro, Filippo Utro
:
ValWorkBench: An open source Java library for cluster validation, with applications to microarray data analysis. Comput. Methods Programs Biomed. 118(2): 207-217 (2015) - [j16]Raffaele Giancarlo, Giosuè Lo Bosco
, Filippo Utro
:
Bayesian versus data driven model selection for microarray data. Nat. Comput. 14(3): 393-402 (2015) - [c3]Laxmi Parida, Filippo Utro
, Deniz Yörükoglu, Anna Paola Carrieri, David Kuhn, Saugata Basu:
Topological Signatures for Population Admixture. RECOMB 2015: 261-275 - 2014
- [j15]Raffaele Giancarlo, Simona E. Rombo, Filippo Utro
:
Compressive biological sequence analysis and archival in the era of high-throughput sequencing technologies. Briefings Bioinform. 15(3): 390-406 (2014) - [j14]Daniel E. Platt, Filippo Utro
, Laxmi Parida:
Effect of sampling on the extent and accuracy of the inferred genetic history of recombining genome. Comput. Biol. Chem. 50: 68-74 (2014) - 2013
- [j13]Niina Haiminen
, Filippo Utro
, Claude Lebreton, Pascal Flament, Zivan Karaman, Laxmi Parida:
Efficient in silico Chromosomal Representation of Populations via Indexing Ancestral Genomes. Algorithms 6(3): 430-441 (2013) - [j12]Raffaele Giancarlo, Giosuè Lo Bosco
, Luca Pinello
, Filippo Utro
:
A methodology to assess the intrinsic discriminative ability of a distance function and its interplay with clustering algorithms for microarray data analysis. BMC Bioinform. 14(S-1): S6 (2013) - [j11]Filippo Utro
, Marc Pybus
, Laxmi Parida:
Sum of parts is greater than the whole: inference of common genetic history of populations. BMC Genom. 14(S-1): S10 (2013) - [p1]Daniel E. Platt, Filippo Utro, Marc Pybus, Laxmi Parida:
Genetic History of Populations: Limits to Inference. Models and Algorithms for Genome Evolution 2013: 309-323 - 2012
- [j10]Aristotelis Tsirigos
, Niina Haiminen
, Erhan Bilal, Filippo Utro
:
GenomicTools: a computational platform for developing high-throughput analytics in genomics. Bioinform. 28(2): 282-283 (2012) - [j9]Filippo Utro
, Omar Cornejo, Donald Livingstone, Juan Motamayor, Laxmi Parida:
ARG-based genome-wide analysis of cacao cultivars. BMC Bioinform. 13(S-19): S17 (2012) - [j8]Raffaele Giancarlo, Davide Scaturro, Filippo Utro
:
Textual data compression in computational biology: Algorithmic techniques. Comput. Sci. Rev. 6(1): 1-25 (2012) - [j7]Raffaele Giancarlo, Filippo Utro
:
Algorithmic paradigms for stability-based cluster validity and model selection statistical methods, with applications to microarray data analysis. Theor. Comput. Sci. 428: 58-79 (2012) - [c2]Raffaele Giancarlo, Filippo Utro
:
Stability-Based Model Selection for High Throughput Genomic Data: An Algorithmic Paradigm. ICARIS 2012: 260-270 - [i3]Davide Corona, Valeria Di Benedetto, Raffaele Giancarlo, Filippo Utro:
The Chromatin Organization of an Eukaryotic Genome : Sequence Specific+ Statistical=Combinatorial (Extended Abstract). CoRR abs/1205.6010 (2012) - 2011
- [j6]Raffaele Giancarlo, Filippo Utro
:
Speeding up the Consensus Clustering methodology for microarray data analysis. Algorithms Mol. Biol. 6: 1 (2011) - [j5]Asif Javed
, Marc Pybus
, Marta Melé
, Filippo Utro
, Jaume Bertranpetit
, Francesc Calafell
, Laxmi Parida:
IRiS: Construction of ARG networks at genomic scales. Bioinform. 27(17): 2448-2450 (2011) - [i2]Filippo Utro:
Algorithms for Internal Validation Clustering Measures in the Post Genomic Era. CoRR abs/1102.2915 (2011) - 2010
- [c1]Raffaele Giancarlo, Giosuè Lo Bosco
, Luca Pinello
, Filippo Utro
:
The Three Steps of Clustering in the Post-Genomic Era: A Synopsis. CIBB 2010: 13-30 - [i1]Raffaele Giancarlo, Davide Corona, Valeria Di Benedetto, Alessandra Gabriele, Filippo Utro:
Functional Information, Biomolecular Messages and Complexity of BioSequences and Structures. Structure Discovery in Biology: Motifs, Networks & Phylogenies 2010
2000 – 2009
- 2009
- [j4]Raffaele Giancarlo, Davide Scaturro, Filippo Utro
:
Textual data compression in computational biology: a synopsis. Bioinform. 25(13): 1575-1586 (2009) - 2008
- [j3]Raffaele Giancarlo, Davide Scaturro, Filippo Utro
:
Computational cluster validation for microarray data analysis: experimental assessment of Clest, Consensus Clustering, Figure of Merit, Gap Statistics and Model Explorer. BMC Bioinform. 9 (2008) - [j2]Raffaele Giancarlo, Davide Scaturro, Filippo Utro
:
A Tutorial on Computational Cluster Analysis with Applications to Pattern Discovery in Microarray Data. Math. Comput. Sci. 1(4): 655-672 (2008) - 2007
- [j1]Raffaele Giancarlo, Alessandro Siragusa, Enrico Siragusa, Filippo Utro
:
A basic analysis toolkit for biological sequences. Algorithms Mol. Biol. 2 (2007)
Coauthor Index
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