Sfoglia per Autore
Modeling biomolecular profiles in a graph-structured sample space for clinical outcome prediction with melanoma and ovarian cancer patients
2017 J. Gliozzo, M. Notaro, A. Petrini, P. Perlasca, M. Mesiti, E. Casiraghi, M. Frasca, G. Grossi, M. Re, A. Paccanaro, G. Valentini
A Web Graphical Tool for the Integration of Unbalanced Biomolecular Networks
2017 P. Perlasca, M. Mesiti, M. Notaro, A. Petrini, J. Gliozzo, G. Valentini, M. Frasca
Speeding up node label learning in unbalanced biomolecular networks through a parallel and sparse GPUbased Hopfield model
2017 A. Petrini, M. Notaro, J. Gliozzo, G. Valentini, G. Grossi, M. Frasca
T-NOVA : An open-source MANO stack for NFV infrastructures
2017 M. Kourtis, M.J. Mcgrath, G. Gardikis, G. Xilouris, V. Riccobene, P. Papadimitriou, E. Trouva, F. Liberati, M. Trubian, J. Batallã©, H. Koumaras, D. Dietrich, A. Ramos, J.F. Riera, J. Bonnet, A. Pietrabissa, A. Ceselli, A. Petrini
A GPU-based algorithm for fast node label learning in large and unbalanced biomolecular networks
2018 M. Frasca, G. Grossi, J. Gliozzo, M. Mesiti, M. Notaro, P. Perlasca, A. Petrini, G. Valentini
Training Neural Networks with Balanced Mini-batch to Improve the Prediction of Pathogenic Genomic Variants in Mendelian Diseases
2019 L. Cappelletti, J. Gliozzo, A. Petrini, G. Valentini
A Parallel MCMC Algorithm for the Balanced Graph Coloring Problem
2019 D. Conte, G. Grossi, R. Lanzarotti, J. Lin, A. Petrini
UNIPred-Web : a web tool for the integration and visualization of biomolecular networks for protein function prediction
2019 P. Perlasca, M. Frasca, C.T. Ba, M. Notaro, A. Petrini, E. Casiraghi, G. Grossi, J. Gliozzo, G. Valentini, M. Mesiti
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
2019 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
Network modeling of patients' biomolecular profiles for clinical phenotype/outcome prediction
2020 J. Gliozzo, P. Perlasca, M. Mesiti, E. Casiraghi, V. Vallacchi, E. Vergani, M. Frasca, G. Grossi, A. Petrini, M. Re, A. Paccanaro, G. Valentini
Human Digital Twin for Fitness Management
2020 B.R. Barricelli, E. Casiraghi, J. Gliozzo, A. Petrini, S. Valtolina
Committee-Based Active Learning to Select Negative Examples for Predicting Protein Functions
2020 M. Frasca, M. Sepehri, A. Petrini, G. Grossi, G. Valentini
Bayesian Optimization Improves Tissue-Specific Prediction of Active Regulatory Regions with Deep Neural Networks
2020 L. Cappelletti, A. Petrini, J. Gliozzo, E. Casiraghi, M. Schubach, M. Kircher, G. Valentini
A Graphical Tool for the Exploration and Visual Analysis of Biomolecular Networks
2020 C.T. Ba, E. Casiraghi, M. Frasca, J. Gliozzo, G. Grossi, M. Mesiti, M. Notaro, P. Perlasca, A. Petrini, M. Re', G. Valentini
parSMURF, a high-performance computing tool for the genome-wide detection of pathogenic variants
2020 A. Petrini, M. Mesiti, M. Schubach, M. Frasca, D. Danis, M. Re, G. Grossi, L. Cappelletti, T. Castrignano, P.N. Robinson, G. Valentini
Enhanced multicore–manycore interaction in high-performance video encoding
2020 G. Grossi, P. Paglierani, F. Pedersini, A. Petrini
HEMDAG: a family of modular and scalable hierarchical ensemble methods to improve Gene Ontology term prediction
2021 M. Notaro, M. Frasca, A. Petrini, J. Gliozzo, E. Casiraghi, P.N. Robinson, G. Valentini
A bioinformatic pipeline for image analysis of varroa related traits in honeybees comb images
2021 G. Paolillo, E. Casiraghi, A. Petrini, M.G. DE IORIO, S. Biffani, G. Minozzi, A. Stella, G. Valentini
Abdominal Computed Tomography Imaging Findings in Hospitalized COVID-19 Patients: A Year-Long Experience and Associations Revealed by Explainable Artificial Intelligence
2021 A. Scarabelli, M. Zilocchi, E. Casiraghi, P. Fasani, G. Giovanni Plensich, A. Alessandro Esposito, E. Stellato, A. Petrini, J. Reese, P. Robinson, G. Valentini, G. Carrafiello
HIGH PERFORMANCE COMPUTING MACHINE LEARNING METHODS FOR PRECISION MEDICINE
2021 A. Petrini
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