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Daniele Catanzaro

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Plos One|April 6, 2011
A class representative model for Pure Parsimony Haplotyping under uncertain dataDaniele Catanzaro, Martine Labbé, Luciano Porretta
Algorithms for Molecular Biology : AMB|January 25, 2013
A mixed integer linear programming model to reconstruct phylogenies from single nucleotide polymorphism haplotypes under the maximum parsimony criterionDaniele Catanzaro, Ramamoorthi Ravi, Russell Schwartz
Bioinformatics (Oxford, England)|June 27, 2025
New heuristics for phylogeny estimation under the balanced minimum evolution criterionDaniele Catanzaro, Henri Dehaybe, Raffaele Pesenti
BMC Evolutionary Biology|November 17, 2007
An ant colony optimization algorithm for phylogenetic estimation under the minimum evolution principleDaniele Catanzaro, Rafflaele Pesenti, Michel C Milinkovitch
Evolutionary Bioinformatics Online|May 21, 2009
Assessing the applicability of the GTR nucleotide substitution model through simulationsLaurent Gatto, Daniele Catanzaro, Michel C Milinkovitch
Bioinformatics (Oxford, England)|January 7, 2006
A non-linear optimization procedure to estimate distances and instantaneous substitution rate matrices under the GTR modelDaniele Catanzaro, Raffaele Pesenti, Michel C Milinkovitch
IEEE/ACM Transactions on Computational Biology and Bioinformatics|January 11, 2014
An integer programming formulation of the parsimonious loss of heterozygosity problemDaniele Catanzaro, Martine Labbé, Bjarni V Halldórsson
Human Immunology|May 8, 2010
Computer-aided human leukocyte antigen association studies: a case study for psoriasis and severe alopecia areataDaniele Catanzaro, Marc Andrien, Martine Labbé, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 10, 2015
Classifying the Progression of Ductal Carcinoma from Single-Cell Sampled Data via Integer Linear Programming: A Case StudyDaniele Catanzaro, Stanley E Shackney, Alejandro A Schaffer, et al.
Bioinformatics (Oxford, England)|October 27, 2023
An evolution strategy approach for the balanced minimum evolution problemAndrea Gasparin, Federico Julian Camerota Verdù, Daniele Catanzaro, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Plos One|April 6, 2011
A class representative model for Pure Parsimony Haplotyping under uncertain dataDaniele Catanzaro, Martine Labbé, Luciano Porretta
Algorithms for Molecular Biology : AMB|January 25, 2013
A mixed integer linear programming model to reconstruct phylogenies from single nucleotide polymorphism haplotypes under the maximum parsimony criterionDaniele Catanzaro, Ramamoorthi Ravi, Russell Schwartz
Bioinformatics (Oxford, England)|June 27, 2025
New heuristics for phylogeny estimation under the balanced minimum evolution criterionDaniele Catanzaro, Henri Dehaybe, Raffaele Pesenti
BMC Evolutionary Biology|November 17, 2007
An ant colony optimization algorithm for phylogenetic estimation under the minimum evolution principleDaniele Catanzaro, Rafflaele Pesenti, Michel C Milinkovitch
Evolutionary Bioinformatics Online|May 21, 2009
Assessing the applicability of the GTR nucleotide substitution model through simulationsLaurent Gatto, Daniele Catanzaro, Michel C Milinkovitch
Bioinformatics (Oxford, England)|January 7, 2006
A non-linear optimization procedure to estimate distances and instantaneous substitution rate matrices under the GTR modelDaniele Catanzaro, Raffaele Pesenti, Michel C Milinkovitch
IEEE/ACM Transactions on Computational Biology and Bioinformatics|January 11, 2014
An integer programming formulation of the parsimonious loss of heterozygosity problemDaniele Catanzaro, Martine Labbé, Bjarni V Halldórsson
Human Immunology|May 8, 2010
Computer-aided human leukocyte antigen association studies: a case study for psoriasis and severe alopecia areataDaniele Catanzaro, Marc Andrien, Martine Labbé, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 10, 2015
Classifying the Progression of Ductal Carcinoma from Single-Cell Sampled Data via Integer Linear Programming: A Case StudyDaniele Catanzaro, Stanley E Shackney, Alejandro A Schaffer, et al.
Bioinformatics (Oxford, England)|October 27, 2023
An evolution strategy approach for the balanced minimum evolution problemAndrea Gasparin, Federico Julian Camerota Verdù, Daniele Catanzaro, et al.
Pageof 1