Re' Matteo

A Graphical Tool for the Exploration and Visual Analysis of Biomolecular Networks / C.T. Ba, E. Casiraghi, M. Frasca, J. Gliozzo, G. Grossi, M. Mesiti, M. Notaro, P. Perlasca, A. Petrini, M. Re', G. Valentini (LECTURE NOTES IN ARTIFICIAL INTELLIGENCE). - In: Computational Intelligence Methods for Bioinformatics and Biostatistics / [a cura di] M. Raposo, P. Ribeiro, S. Sério, A. Staiano, A. Ciaramella. - [s.l] : Springer, 2020. - ISBN 9783030345846. - pp. 88-98 (( Intervento presentato al 15. convegno CIBB tenutosi a Caparica nel 2018.

The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens / N. Zhou, Y. Jiang, T.R. Bergquist, A.J. Lee, B.Z. Kacsoh, A.W. Crocker, K.A. Lewis, G. Georghiou, H.N. Nguyen, M.N. Hamid, L. Davis, T. Dogan, V. Atalay, A.S. Rifaioglu, A. Dalklran, R. Cetin Atalay, C. Zhang, R.L. Hurto, P.L. Freddolino, Y. Zhang, P. Bhat, F. Supek, J.M. Fernandez, B. Gemovic, V.R. Perovic, R.S. Davidovic, N. Sumonja, N. Veljkovic, E. Asgari, M.R.K. Mofrad, G. Profiti, C. Savojardo, P.L. Martelli, R. Casadio, F. Boecker, H. Schoof, I. Kahanda, N. Thurlby, A.C. Mchardy, A. Renaux, R. Saidi, J. Gough, A.A. Freitas, M. Antczak, F. Fabris, M.N. Wass, J. Hou, J. Cheng, Z. Wang, A.E. Romero, A. Paccanaro, H. Yang, T. Goldberg, C. Zhao, L. Holm, P. Toronen, A.J. Medlar, E. Zosa, I. Borukhov, I. Novikov, A. Wilkins, O. Lichtarge, P.-. Chi, W.-. Tseng, M. Linial, P.W. Rose, C. Dessimoz, V. Vidulin, S. Dzeroski, I. Sillitoe, S. Das, J.G. Lees, D.T. Jones, C. Wan, D. Cozzetto, R. Fa, M. Torres, A. Warwick Vesztrocy, J.M. Rodriguez, M.L. Tress, M. Frasca, M. Notaro, G. Grossi, A. Petrini, M. Re, G. Valentini, M. Mesiti, D.B. Roche, J. Reeb, D.W. Ritchie, S. Aridhi, S.Z. Alborzi, M.-. Devignes, D.C.E. Koo, R. Bonneau, V. Gligorijevic, M. Barot, H. Fang, S. Toppo, E. Lavezzo, M. Falda, M. Berselli, S.C.E. Tosatto, M. Carraro, D. Piovesan, H. Ur Rehman, Q. Mao, S. Zhang, S. Vucetic, G.S. Black, D. Jo, E. Suh, J.B. Dayton, D.J. Larsen, A.R. Omdahl, L.J. Mcguffin, D.A. Brackenridge, P.C. Babbitt, J.M. Yunes, P. Fontana, F. Zhang, S. Zhu, R. You, Z. Zhang, S. Dai, S. Yao, W. Tian, R. Cao, C. Chandler, M. Amezola, D. Johnson, J.-. Chang, W.-. Liao, Y.-. Liu, S. Pascarelli, Y. Frank, R. Hoehndorf, M. Kulmanov, I. Boudellioua, G. Politano, S. Di Carlo, A. Benso, K. Hakala, F. Ginter, F. Mehryary, S. Kaewphan, J. Bjorne, H. Moen, M.E.E. Tolvanen, T. Salakoski, D. Kihara, A. Jain, T. Smuc, A. Altenhoff, A. Ben-Hur, B. Rost, S.E. Brenner, C.A. Orengo, C.J. Jeffery, G. Bosco, D.A. Hogan, M.J. Martin, C. O'Donovan, S.D. Mooney, C.S. Greene, P. Radivojac, I. Friedberg. - In: GENOME BIOLOGY. - ISSN 1474-760X. - 20:1(2019 Nov 19).

Imbalance-Aware Machine Learning for Predicting Rare and Common Disease-Associated Non-Coding Variants / M. Schubach, M. Re, P.N. Robinson, G. Valentini. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - 7:1(2017 Jun 07), pp. 2959.1-2959.12.

Within network learning on big graphs using secondary memory-based random walk kernels / J. Lin, M. Mesiti, M. Re, G. Valentini - In: Complex Networks & Their Applications V / [a cura di] H. Cherifi, S. Gaito, W. Quattrocchi, A. Sala. - Prima edizione. - [s.l] : Springer Verlag, 2017. - ISBN 9783319509006. - pp. 235-245 (( Intervento presentato al 5. convegno COMPLEX NETWORKS tenutosi a Milano nel 2016.

Modeling biomolecular profiles in a graph-structured sample space for clinical outcome prediction with melanoma and ovarian cancer patients / J. Gliozzo, M. Notaro, A. Petrini, P. Perlasca, M. Mesiti, E. Casiraghi, M. Frasca, G. Grossi, M. Re, A. Paccanaro, G. Valentini. ((Intervento presentato al 14. convegno Annual Meeting of the Bioinformatics Italian Society tenutosi a Cagliari nel 2017.