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 | 2011 | |
|---|---|---|
| j9 |      | Leonardo Vanneschi, Antonella Farinaccio, Giancarlo Mauri, Mauro Antoniotti, Paolo Provero, Mario Giacobini: A comparison of machine learning techniques for survival prediction in breast cancer. BioData Mining 4: 12 (2011) |
| j8 | | Christian Darabos, Marco Tomassini, Ferdinando Di Cunto, Paolo Provero, Jason H. Moore, Mario Giacobini: Toward robust network based complex systems: from evolutionary cellular automata to biological models. Intelligenza Artificiale 5(1): 37-47 (2011) |
| c6 | | Antonella Farinaccio, Leonardo Vanneschi, Paolo Provero, Giancarlo Mauri, Mario Giacobini: A New Evolutionary Gene Regulatory Network Reverse Engineering Tool. EvoBio 2011: 13-24 |
| c5 | | Christian Darabos, Ferdinando Di Cunto, Marco Tomassini, Jason H. Moore, Paolo Provero, Mario Giacobini: Validating a Threshold-Based Boolean Model of Regulatory Networks on a Biological Organism. EvoBio 2011: 59-68 |
| 2010 | ||
| j7 | | Rosario Michael Piro, Ivan Molineris, Ugo Ala, Paolo Provero, Ferdinando Di Cunto: Candidate gene prioritization based on spatially mapped gene expression: an application to XLMR. Bioinformatics 26(18) (2010) |
| c4 | | Leonardo Vanneschi, Antonella Farinaccio, Mario Giacobini, Giancarlo Mauri, Marco Antoniotti, Paolo Provero: Identification of Individualized Feature Combinations for Survival Prediction in Breast Cancer: A Comparison of Machine Learning Techniques. EvoBIO 2010: 110-121 |
| c3 | | Antonella Farinaccio, Leonardo Vanneschi, Mario Giacobini, Giancarlo Mauri, Paolo Provero: On the use of genetic programming for the prediction of survival in cancer. GECCO 2010: 163-170 |
| c2 | | Antonella Farinaccio, Leonardo Vanneschi, Paolo Provero, Giancarlo Mauri, Mario Giacobini: A Study on Gene Regulatory Network Reconstruction and Simulation. WIRN 2010: 235-242 |
| 2009 | ||
| c1 | | Christian Darabos, Mario Giacobini, Marco Tomassini, Paolo Provero, Ferdinando Di Cunto: Are Cells Really Operating at the Edge of Chaos? - A Case Study of Two Real-Life Regulatory Networks. ECAL (1) 2009: 281-288 |
| 2008 | ||
| j6 | | Ugo Ala, Rosario Michael Piro, Elena Grassi, Christian Damasco, Lorenzo Silengo, Martin Oti, Paolo Provero, Ferdinando Di Cunto: Prediction of Human Disease Genes by Human-Mouse Conserved Coexpression Analysis. PLoS Computational Biology 4(3) (2008) |
| 2007 | ||
| j5 | | Davide Corà, Ferdinando Di Cunto, Michele Caselle, Paolo Provero: Identification of candidate regulatory sequences in mammalian 3' UTRs by statistical analysis of oligonucleotide distributions. BMC Bioinformatics 8 (2007) |
| 2005 | ||
| j4 | | Davide Corà, Carl Herrmann, Christoph Dieterich, Ferdinando Di Cunto, Paolo Provero, Michele Caselle: Ab initio identification of putative human transcription factor binding sites by comparative genomics. BMC Bioinformatics 6: 110 (2005) |
| 2004 | ||
| j3 | | Davide Corà, Ferdinando Di Cunto, Paolo Provero, Lorenzo Silengo, Michele Caselle: Computational identification of transcription factor binding sites by functional analysis of sets of genes sharing overrep-resented upstream motifs. BMC Bioinformatics 5: 57 (2004) |
| j2 | | Maurizio Pellegrino, Paolo Provero, Lorenzo Silengo, Ferdinando Di Cunto: CLOE: Identification of putative functional relationships among genes by comparison of expression profiles between two species. BMC Bioinformatics 5: 179 (2004) |
| 2002 | ||
| j1 | | Michele Caselle, Ferdinando Di Cunto, Paolo Provero: Correlating overrepresented upstream motifs to gene expression: a computational approach to regulatory element discovery in eukaryotes. BMC Bioinformatics 3: 7 (2002) |
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