You are here


Found 15 results
Sort by: Author Title Type [ Year (Desc)]
Filters: Author is Elisa, Cilia  [Clear All Filters]
Cilia E, Vuister GW, Lenaerts T. Accurate Prediction of the Dynamical Changes within the Second PDZ Domain of PTP1e. PLoS Comput Biol [Internet]. 2012:e1002794 - .
Falda M, Toppo S, Pescarolo A, Lavezzo E, Di Camillo B, Facchinetti A, Cilia E, Velasco R, Fontana P. Argot2: a large scale function prediction tool relying on semantic similarity of weighted Gene Ontology terms. BMC Bioinformatics. 2012:S14.
Cilia E, Teso S, Ammendola S, Lenaerts T, Andrea P. Predicting virus mutations through relational learning. In: Annotation, Interpretation and Management of Mutations (AIMM) Workshop@ECCB2012. Vol. 916. Annotation, Interpretation and Management of Mutations (AIMM) Workshop@ECCB2012. ; 2012. p. .
Cilia E, Landwehr N, Passerini A. Relational Feature Mining with Hierarchical Multitask kFOIL. Fundamenta Informaticae [Internet]. 2011:151–177.
Cilia E, Passerini A. Automatic prediction of catalytic residues by modeling residue structural neighborhood. BMC bioinformatics [Internet]. 2010:115.
Cilia E, Passerini A. Frankenstein Junior: a relational learning approach toward protein engineering. Proceedings of the Annotation, Interpretation and Management of Mutations (AIMM) Workshop@ECCB2010 [Internet]. 2010.
Cilia E, Ammendola S. Identification of the amino acid residues affecting the catalytic pocket of the Sulfolobus solfataricus signature amidase. Protein and peptide letters [Internet]. 2010:146-50.
Mascia F, Cilia E, Brunato M, Passerini A. Predicting Structural and Functional Sites in Proteins by Searching for Maximum-Weight Cliques. Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI-10) [Internet]. 2010:1274–1279.
Cilia E, Passerini A. Statistical and relational learning for understanding enzyme function. Dipartimento di Ingegneria e Scienza dell'Informazione, University of Trento [Internet]. 2010.
Cilia E, Moschitti A. Advanced Tree-Based Kernels for Protein Classification. Proceedings of AI*IA 2007 [Internet]. 2007:218-229.
Cilia E, Moschitti A, Ammendola S, Basili R. Structured Kernels for the Automatic Detection of Protein Active Sites. Proceedings of Mining and Learning with Graphs@ECML/PDKK [Internet]. 2006.

Theme by Danetsoft and Danang Probo Sayekti inspired by Maksimer