Ciccolella Simone

Research Topic:

My main research interests range from the definition of methods and algorithms for graph theory to the development of algorithms for the reconstruction of cancer progression from sequencing data.

Publications

  • S. Ciccolella, M. Gomez, M.Patterson, G. Della Vedova, I. Hajirasouliha and P. Bonizzoni.
    gpps: an ILP-based approach for inferring cancer progression with mutation losses from single cell data
    Invited to BMC Bioinformatics, 2018.
  • P. Bonizzoni, S. Ciccolella, G. Della Vedova, and M. Soto.
    Does relaxing the infinite site assumption give better tumor phylogenies? An ILP-based comparative approach.
    IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2018.
  • P. Bonizzoni, S. Ciccolella, G. Della Vedova, and M. Soto.
    Beyond Perfect Phylogeny: Multisample Phylogeny Reconstruction via ILP.
    ACM-BCB ’17 Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology,and Health Informatics, 2017.

 

Teaching

Algoritmi e strutture dati (Tutor)
A.A. 2018-2019

Lab

https://algolab.eu/

Contacts

s dot ciccolella at campus dot unimib dot it
+39 02 6448 7917

Room 1001 – Algolab
Edificio U14
Viale Sarca 336
Milano

 

 

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