Parties d'ouvrages collectifs (1)
  1. 1. Catanzaro, D. (2011). Estimating phylogenies from molecular data. In R. Bruni (Ed.), Mathematical approaches to polymer sequence analysis and related problems. Springer, NY. doi:10.1007/978-1-4419-6800-5_8
    2.   Articles dans des revues avec comité de lecture (24)
  2. 1. Catanzaro, D., Aringhieri, R., Di Summa, M., & Pesenti, R. (2015). The Minimum Evolution Criterion of Phylogeny Estimation via Linear Programming: Theoretical Foundations and Improved Solution Approaches. European journal of operational research.
  3. 2. Catanzaro, D., Ravi, R., & Schwartz, R. H. (2012). A mixed integer linear programming model to reconstruct phylogenies from single nucleotide polymorphism fragments under the maximum parsimony criterion. Algorithms for molecular biology.
  4. 3. Catanzaro, D., Labbé, M., & Halldorsson, B. (2012). The loss of heterozigosity problem. IEEE/ACM transactions on computational biology and bioinformatics.
  5. 4. Porretta'S, L., Catanzaro, D., Halldórsson, B. V., & Fortz, B. (2019). A Branch and Price algorithm for the minimum cost clique cover problem in max-point tolerance graphs. 4OR, 17(1), 75-96.
  6. 5. Catanzaro, D., Labbé, M., & Gouveia, L. (2015). Improved integer linear programming formulations for the job Sequencing and tool Switching Problem. European journal of operational research, 244(3), 766–777. doi:10.1016/j.ejor.2015.02.018
  7. 6. Catanzaro, D., Labbé, M., & Halldórsson, B. B. (2013). An integer programming formulation of the parsimonious loss of heterozygosity problem. IEEE/ACM transactions on computational biology and bioinformatics, 10(6), 6357183, 1391-1402. doi:10.1109/TCBB.2012.138
  8. 7. Catanzaro, D., Labbé, M., & Pesenti, R. (2013). The balanced minimum evolution problem under uncertain data. Discrete applied mathematics, 161(13-14), 1789-1804. doi:10.1016/j.dam.2013.03.012
  9. 8. Catanzaro, D., Ravi, R., & Schwartz, R. (2013). A mixed integer linear programming model to reconstruct phylogenies from single nucleotide polymorphism haplotypes under the maximum parsimony criterion. Algorithms for molecular biology, 8(1), 3. doi:10.1186/1748-7188-8-3
  10. 9. Catanzaro, D., Labbé, M., & Halldórsson, B. B. (2012). A mixed integer programming model for the parsimonious loss of heterozygosity problem. Lecture notes in computer science, 7292 LNBI, 24-35. doi:10.1007/978-3-642-30191-9_3
  11. 10. Catanzaro, D., Labbé, M., Pesenti, R., & Salazar Gonzales, J. J. (2012). The balanced minimum evolution problem. INFORMS journal on computing, 24(2), 276-294. doi:10.1287/ijoc.1110.0455
  12. 11. Catanzaro, D., Porretta'S, L., & Labbé, M. (2011). A Class Representative Model for Pure Parsimony Haplotyping under Uncertain Data. P L o S One, 6(3), e17937. doi:10.1371/journal.pone.0017937
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