A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease von Spasov, Simeon, Passamonti, Luca, Duggento, Andrea, Liò, Pietro, Toschi, Nicola

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Parapred: antibody paratope prediction using convolutional and recurrent neural networks von Liberis, Edgar, Veličković, Petar, Sormanni, Pietro, Vendruscolo, Michele, Liò, Pietro

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Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or curation von Deasy, Jacob, Liò, Pietro, Ercole, Ari

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Multi -omics and metabolic modelling pipelines: Challenges and tools for systems microbiology von Fondi, Marco, Liò, Pietro

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Logic Explained Networks von Ciravegna, Gabriele, Barbiero, Pietro, Giannini, Francesco, Gori, Marco, Liò, Pietro, Maggini, Marco, Melacci, Stefano

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MF-PCBA: Multifidelity High-Throughput Screening Benchmarks for Drug Discovery and Machine Learning von Buterez, David, Janet, Jon Paul, Kiddle, Steven J., Liò, Pietro

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Network-based analysis of comorbidities risk during an infection: SARS and HIV case studies von Moni, Mohammad Ali, Liò, Pietro

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From Infection to Immunity: Understanding the Response to SARS-CoV2 Through In-Silico Modeling von Castiglione, Filippo, Deb, Debashrito, Srivastava, Anurag P., Liò, Pietro, Liso, Arcangelo

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How to integrate wet lab and bioinformatics procedures for wine DNA admixture analysis and compositional profiling: Case studies and perspectives von Vignani, Rita, Liò, Pietro, Scali, Monica

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Variational Autoencoders for Cancer Data Integration: Design Principles and Computational Practice von Simidjievski, Nikola, Bodnar, Cristian, Tariq, Ifrah, Scherer, Paul, Andres Terre, Helena, Shams, Zohreh, Jamnik, Mateja, Liò, Pietro

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Unsupervised generative and graph representation learning for modelling cell differentiation von Bica, Ioana, Andrés-Terré, Helena, Cvejic, Ana, Liò, Pietro

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Collective human mobility pattern from taxi trips in urban area von Peng, Chengbin, Jin, Xiaogang, Wong, Ka-Chun, Shi, Meixia, Liò, Pietro

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Analysis of single-cell RNA sequencing data based on autoencoders von Tangherloni, Andrea, Ricciuti, Federico, Besozzi, Daniela, Liò, Pietro, Cvejic, Ana

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Adversarial generation of gene expression data von Viñas, Ramon, Andrés-Terré, Helena, Liò, Pietro, Bryson, Kevin

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Pathogenetic profiling of COVID-19 and SARS-like viruses von Nain, Zulkar, Rana, Humayan Kabir, Liò, Pietro, Islam, Sheikh Mohammed Shariful, Summers, Matthew A, Moni, Mohammad Ali

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CellVGAE: an unsupervised scRNA-seq analysis workflow with graph attention networks von Buterez, David, Bica, Ioana, Tariq, Ifrah, Andrés-Terré, Helena, Liò, Pietro

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The Impact of Heterogeneity and Awareness in Modeling Epidemic Spreading on Multiplex Networks von Scatà, Marialisa, Di Stefano, Alessandro, Liò, Pietro, La Corte, Aurelio

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Graph Rewiring and Preprocessing for Graph Neural Networks Based on Effective Resistance von Shen, Xu, Lio, Pietro, Yang, Lintao, Yuan, Ru, Zhang, Yuyang, Peng, Chengbin

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Towards real-time community detection in large networks von Leung, Ian X Y, Hui, Pan, Liò, Pietro, Crowcroft, Jon

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Immunoinformatics design of multivalent epitope vaccine against monkeypox virus and its variants using membrane-bound, enveloped, and extracellular proteins as targets von Waqas, Muhammad, Aziz, Shahkaar, Liò, Pietro, Khan, Yumna, Ali, Amjad, Iqbal, Aqib, Khan, Faizullah, Almajhdi, Fahad Nasser

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