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Most recent publications

Trinquier, Jeanne; Uguzzoni, Guido; Pagnani, Andrea; Zamponi, Francesco; Weigt, Martin (2021)
Efficient generative modeling of protein sequences using simple autoregressive models. In: NATURE COMMUNICATIONS, vol. 12. ISSN 2041-1723 Download fulltext
Braunstein, Alfredo; Gueudre, Thomas; Pagnani, Andrea; Pieropan, Mirko (2021)
Expectation propagation on the diluted Bayesian classifier. In: PHYSICAL REVIEW. E, vol. 103. ISSN 2470-0045 Download fulltext
Fernandez-de-Cossio-Diaz, Jorge; Uguzzoni, Guido; Pagnani, Andrea (2021)
Unsupervised inference of protein fitness landscape from deep mutational scan. In: MOLECULAR BIOLOGY AND EVOLUTION, vol. 38, pp. 318-328. ISSN 0737-4038 Download fulltext
Muntoni, Anna Paola; Pagnani, Andrea; Weigt, Martin; Zamponi, Francesco (2020)
Aligning biological sequences by exploiting residue conservation and coevolution. In: PHYSICAL REVIEW. E, vol. 102. ISSN 2470-0045 Download fulltext
Lage-Castellanos, A.; Pagnani, A.; Weigt, M. (2009)
The importance of dilution in the inference of biological networks. In: 2009 47th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2009, Monticello, IL, USA, 2009, pp. 531-538. ISBN: 978-1-4244-5870-7
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