Pubblicazioni

Deep Learning Methods for Network Biology

2022 - Deep Learning In Biology and Medicine

Madeddu, Lorenzo; Stilo, Giovanni

Pandemic, epidemic, endemic: B cell repertoire analysis reveals unique anti-viral responses to SARS-CoV-2, Ebola and Respiratory Syncytial Virus

2022 - FRONTIERS IN IMMUNOLOGY

Alexander, Stewart; Emma, SinclaiR; Joseph Chi-Fung Ng, ; Joselli Silva OâHare, ; Audrey, Page; Serangeli, Ilaria; Christian, Margreitter; Federica, OrsenigO; Katherine, Longman; Cecile, Frampas; Catia, Costa; Holly-May, Lewis; Nora, Kasar; Bryan, Wu; David, Kipling; Peter JM Openshaw, ; Christopher, Chiu; J Kenneth Baillie, ; Scott, Janet T.; Semple, Malcolm G.; Bailey, Melanie J.; Franca, FraternalI; Dunn-Walters, Deborah K.

Metaâomics: Challenges and Applications

2022 - INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

Fulci, Valerio

Network Proximity-Based Drug Repurposing Strategy for Early and Late Stages of Primary Biliary Cholangitis

2022 - BIOMEDICINES

Shahini, Endrit; Pasculli, Giuseppe; Mastropietro, Andrea; Stolfi, Paola; Tieri, Paolo; Vergni, Davide; Cozzolongo, Raffaele; Pesce, Francesco; Giannelli, Gianluigi

Boosting the Full Potential of PyMOL with Structural Biology Plugins

2022 - BIOMOLECULES

Rosignoli, Serena; Paiardini, Alessandro

Introducing the The Mastery Rubric for Bioinformatics â a Professional Guide

2022 - F1000RESEARCH

Via, Allegra; Palagi, Patricia M.; Lindvall, Jessica M.; Attwood, Teresa K.; GOBLET Foundation, The

Using the The Mastery Rubric for Bioinformatics â A professional guide

2022 - F1000RESEARCH

Via, Allegra; Palagi, Patricia M.; Lindvall, Jessica M.; Attwood, Teresa K.; GOBLET Foundation, The

Differential Co-expression Network Analysis to Investigate Sexual Dimorphism in Colon Cancer

2022 - 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

Alfano, Caterina; Farina, Lorenzo; Petti, Manuela

PROCONSUL: PRObabilistic exploration of CONnectivity Significance patterns for disease modULe discovery

2022 - 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

Luca, Riccardo De; Carfora, Marco; Blanco, Gonzalo; Mastropietro, Andrea; Petti, Manuela; Tieri, Paolo

NEPTUNE: A novel computational approach for accurate and large-scale identification of tumor homing peptides

2022 - COMPUTERS IN BIOLOGY AND MEDICINE

Charoenkwan, P.; Schaduangrat, N.; Lio, P.; Moni, M. A.; Manavalan, B.; Shoombuatong, W.

StackDPPIV: A novel computational approach for accurate prediction of dipeptidyl peptidase IV (DPP-IV) inhibitory peptides

2022 - METHODS

Charoenkwan, P.; Nantasenamat, C.; Hasan, M. M.; Moni, M. A.; Lio, P.; Manavalan, B.; Shoombuatong, W.

SAPPHIRE: A stacking-based ensemble learning framework for accurate prediction of thermophilic proteins

2022 - COMPUTERS IN BIOLOGY AND MEDICINE

Charoenkwan, P.; Schaduangrat, N.; Moni, M. A.; Lio, P.; Manavalan, B.; Shoombuatong, W.

SCMTHP: A New Approach for Identifying and Characterizing of Tumor-Homing Peptides Using Estimated Propensity Scores of Amino Acids

2022 - PHARMACEUTICS

Charoenkwan, P.; Chiangjong, W.; Nantasenamat, C.; Moni, M. A.; Lio, P.; Manavalan, B.; Shoombuatong, W.

Empirical comparison and analysis of machine learning-based predictors for predicting and analyzing of thermophilic proteins

2022 - EXCLI JOURNAL

Charoenkwan, P.; Schaduangrat, N.; Hasan, M. M.; Moni, M. A.; Lio, P.; Shoombuatong, W.

Improved prediction and characterization of blood-brain barrier penetrating peptides using estimated propensity scores of dipeptides

2022 - JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN

Charoenkwan, P.; Chumnanpuen, P.; Schaduangrat, N.; Lio, P.; Moni, M. A.; Shoombuatong, W.

Graphein - a Python Library for Geometric Deep Learning and Network Analysis on Biomolecular Structures and Interaction Networks

2022 - Advances in Neural Information Processing Systems 35 (NeurIPS 2022)

Jamasb, A. R.; Vinas, R.; Ma, E. J.; Harris, C.; Huang, K.; Hall, D.; Lio, P.; Blundell, T. L.

Molecular markers and genomics for food and beverages characterization

2022 - Handbook of DNA Profiling

Vignani, R.; Scali, M.; Lio, P.