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Paolo Provero
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2010 – 2019
- 2017
- [j13]Umberto Perron
, Paolo Provero, Ivan Molineris
In silico prediction of lncRNA function using tissue specific and evolutionary conserved expression. BMC Bioinform. 18(S-5): 29-39 (2017) - 2016
- [j12]Elena Grassi
Roar: detecting alternative polyadenylation with standard mRNA sequencing libraries. BMC Bioinform. 17: 423 (2016) - 2015
- [j11]Damian Smedley, Syed Haider, Steffen Durinck, Luca Pandini, Paolo Provero, James E. Allen
The BioMart community portal: an innovative alternative to large, centralized data repositories. Nucleic Acids Res. 43(Webserver-Issue): W589-W598 (2015) - 2014
- [p1]Mario Giacobini, Paolo Provero, Leonardo Vanneschi
Towards the Use of Genetic Programming for the Prediction of Survival in Cancer. Evolution, Complexity and Artificial Life 2014: 177-192 - 2013
- [j10]Ivan Molineris
Drug repositioning for orphan genetic diseases through Conserved Anticoexpressed Gene Clusters (CAGCs). BMC Bioinform. 14: 288 (2013) - 2011
- [j9]Leonardo Vanneschi
A comparison of machine learning techniques for survival prediction in breast cancer. BioData Min. 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
A New Evolutionary Gene Regulatory Network Reverse Engineering Tool. EvoBio 2011: 13-24 - [c5]Christian Darabos, Ferdinando Di Cunto
Validating a Threshold-Based Boolean Model of Regulatory Networks on a Biological Organism. EvoBio 2011: 59-68 - 2010
- [j7]Rosario Michael Piro
Candidate gene prioritization based on spatially mapped gene expression: an application to XLMR. Bioinform. 26(18) (2010) - [c4]Leonardo Vanneschi
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
On the use of genetic programming for the prediction of survival in cancer. GECCO 2010: 163-170 - [c2]Antonella Farinaccio, Leonardo Vanneschi
A Study on Gene Regulatory Network Reconstruction and Simulation. WIRN 2010: 235-242
2000 – 2009
- 2009
- [c1]Christian Darabos, Mario Giacobini
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
Prediction of Human Disease Genes by Human-Mouse Conserved Coexpression Analysis. PLoS Comput. Biol. 4(3) (2008) - 2007
- [j5]Davide Corà
Identification of candidate regulatory sequences in mammalian 3' UTRs by statistical analysis of oligonucleotide distributions. BMC Bioinform. 8 (2007) - 2005
- [j4]Davide Corà
Ab initio identification of putative human transcription factor binding sites by comparative genomics. BMC Bioinform. 6: 110 (2005) - 2004
- [j3]Davide Corà
Computational identification of transcription factor binding sites by functional analysis of sets of genes sharing overrep-resented upstream motifs. BMC Bioinform. 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 Bioinform. 5: 179 (2004) - 2002
- [j1]Michele Caselle
Correlating overrepresented upstream motifs to gene expression: a computational approach to regulatory element discovery in eukaryotes. BMC Bioinform. 3: 7 (2002)
Coauthor Index
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