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- University of SalernoIT19 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di NapoliIT18 papers
- National Interuniversity Consortium for the Physical Sciences of MatterIT15 papers
- Centre National de la Recherche ScientifiqueFR14 papers
- Istituto Nazionale di Fisica Nucleare, Gruppo Collegato di Salerno13 papers
- University of MilanIT13 papers
- Politecnico di TorinoIT12 papers
- Sapienza University of RomeIT12 papers
- Indiana University BloomingtonUS10 papers
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- Université Paris-SudFR8 papers
- Centre de Physique ThéoriqueFR7 papers
4 papers · 1 filter
Inference algorithms for gene networks: a statistical mechanics analysis
A. Braunstein, A. Pagnani, M. Weigt +1
The inference of gene regulatory networks from high throughput gene expression data is one of the major challenges in systems biology. This paper aims at analysing and comparing tw…
Gene-network inference by message passing
A. Braunstein, A. Pagnani, M. Weigt +1
The inference of gene-regulatory processes from gene-expression data belongs to the major challenges of computational systems biology. Here we address the problem from a statistica…
Clustering by soft-constraint affinity propagation: Applications to gene-expression data
Michele Leone, Sumedha, Martin Weigt
Motivation: Similarity-measure based clustering is a crucial problem appearing throughout scientific data analysis. Recently, a powerful new algorithm called Affinity Propagation (…
Predicting protein functions with message passing algorithms
M. Leone, A. Pagnani
Motivation: In the last few years a growing interest in biology has been shifting towards the problem of optimal information extraction from the huge amount of data generated via l…