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Elisa Cilia
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Books and Theses
- 2010
- [b1]Elisa Cilia:
Statistical and Relational Learning for Understanding Enzyme Function. University of Trento, Italy, 2010
Journal Articles
- 2016
- [j8]Andrea M. Gazzo, Dorien Daneels, Elisa Cilia, Maryse Bonduelle, Marc Abramowicz, Sonia Van Dooren, Guillaume Smits, Tom Lenaerts:
NAR Breakthrough Article: DIDA: A curated and annotated digenic diseases database. Nucleic Acids Res. 44(Database-Issue): 900-907 (2016) - [j7]Ana Zafra Ruano, Elisa Cilia, José R. Couceiro, Javier Ruiz Sanz, Joost Schymkowitz, Frederic Rousseau, Irene Luque, Tom Lenaerts:
From Binding-Induced Dynamic Effects in SH3 Structures to Evolutionary Conserved Sectors. PLoS Comput. Biol. 12(5) (2016) - 2014
- [j6]Elisa Cilia, Stefano Teso, Sergio Ammendola, Tom Lenaerts, Andrea Passerini:
Predicting virus mutations through statistical relational learning. BMC Bioinform. 15: 309 (2014) - [j5]Elisa Cilia, Rita Pancsa, Peter Tompa, Tom Lenaerts, Wim F. Vranken:
The DynaMine webserver: predicting protein dynamics from sequence. Nucleic Acids Res. 42(Webserver-Issue): 264-270 (2014) - 2012
- [j4]Marco Falda, Stefano Toppo, Alessandro Pescarolo, Enrico Lavezzo, Barbara Di Camillo, Andrea Facchinetti, Elisa Cilia, Riccardo Velasco, Paolo Fontana:
Argot2: a large scale function prediction tool relying on semantic similarity of weighted Gene Ontology terms. BMC Bioinform. 13(S-4): S14 (2012) - [j3]Elisa Cilia, Geerten W. Vuister, Tom Lenaerts:
Accurate Prediction of the Dynamical Changes within the Second PDZ Domain of PTP1e. PLoS Comput. Biol. 8(11) (2012) - 2011
- [j2]Elisa Cilia, Niels Landwehr, Andrea Passerini:
Relational Feature Mining with Hierarchical Multitask kFOIL. Fundam. Informaticae 113(2): 151-177 (2011) - 2010
- [j1]Elisa Cilia, Andrea Passerini:
Automatic prediction of catalytic residues by modeling residue structural neighborhood. BMC Bioinform. 11: 115 (2010)
Conference and Workshop Papers
- 2012
- [c3]Elisa Cilia, Stefano Teso, Sergio Ammendola, Tom Lenaerts, Andrea Passerini:
Predicting virus mutations through relational learning. AIMM 2012 - 2010
- [c2]Franco Mascia, Elisa Cilia, Mauro Brunato, Andrea Passerini:
Predicting Structural and Functional Sites in Proteins by Searching for Maximum-weight Cliques. AAAI 2010: 1274-1279 - 2007
- [c1]Elisa Cilia, Alessandro Moschitti:
Advanced Tree-Based Kernels for Protein Classification. AI*IA 2007: 218-229
Coauthor Index
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