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2020 – today
- 2024
[j11]Simone Rancati
, Giovanna Nicora, Mattia Prosperi, Riccardo Bellazzi, Marco Salemi, Simone Marini:
Forecasting dominance of SARS-CoV-2 lineages by anomaly detection using deep AutoEncoders. Briefings Bioinform. 25(6) (2024)- [j10]Chaoyue Sun, Ruogu Fang, Marco Salemi, Mattia Prosperi, Brittany Rife Magalis:
DeepDynaForecast: Phylogenetic-informed graph deep learning for epidemic transmission dynamic prediction. PLoS Comput. Biol. 20(4): 1011351 (2024) - [c6]Chaoyue Sun, Yiyang Liu, Christina Parisi, Rebecca Fisk-Hoffman, Marco Salemi, Ruogu Fang, Brandi Danforth, Mattia Prosperi, Simone Marini:
Learning on Forecasting HIV Epidemic Based on Individuals' Contact Networks. BIOSTEC (2) 2024: 103-111 - 2023
- [j9]Maria V. Meneses, Alberto Riva, Marco Salemi, Carla Mavian:
ARCA: the interactive database for arbovirus reported cases in the Americas. BMC Bioinform. 24(1): 312 (2023) - 2022
- [j8]Simone Marini, Carla Mavian, Alberto Riva, Mattia Prosperi, Marco Salemi, Brittany Rife Magalis:
Optimizing viral genome subsampling by genetic diversity and temporal distribution (TARDiS) for phylogenetics. Bioinform. 38(3): 856-860 (2022) - [c5]Mattia Prosperi, Brittany Rife Magalis, Simone Marini, Marco Salemi:
Transmission cluster characteristics of global, regional, and lineage-specific SARS-CoV-2 phylogenies. BIBM 2022: 2940-2944 - [c4]Giovanna Nicora, Simone Marini, Marco Salemi, Riccardo Bellazzi:
Dynamic Prediction of Non-Neutral SARS-Cov-2 Variants Using Incremental Machine Learning. MIE 2022: 654-658 - 2021
- [c3]Mattia Prosperi, Shantanu Ghosh, Zhaoyi Chen, Marco Salemi, Tianchen Lyu, Jinying Zhao, Jiang Bian:
Causal AI with Real World Data: Do Statins Protect from Alzheimer's Disease Onset? ICMHI 2021: 296-303 - 2020
- [j7]Nabil Abid, Daniele Pietrucci, Marco Salemi, Giovanni Chillemi:
New Insights into the Effect of Residue Mutations on the Rotavirus VP1 Function Using Molecular Dynamic Simulations. J. Chem. Inf. Model. 60(10): 5011-5025 (2020)
2010 – 2019
- 2019
- [c2]Mattia Prosperi, Taj Azarian, Judith A. Johnson, Marco Salemi, Franco Milicchio, Marco Oliva:
Unexpected Predictors of Antibiotic Resistance in Housekeeping Genes of Staphylococcus Aureus. BCB 2019: 259-268 - 2015
- [j6]Gary B. Fogel, Susanna L. Lamers, Enoch S. Liu, Marco Salemi, Michael S. McGrath:
Identification of dual-tropic HIV-1 using evolved neural networks. Biosyst. 137: 12-19 (2015) - 2014
- [j5]Susanna L. Lamers, Gary B. Fogel, David J. Nolan, Michael S. McGrath, Marco Salemi:
HIV-associated neuropathogenesis: A systems biology perspective for modeling and therapy. Biosyst. 119: 53-61 (2014) - [j4]Melissa M. Norström, Nazle M. Veras, Wei Huang, Mattia C. F. Prosperi, Jennifer Cook, Wendy Hartogensis, Frederick M. Hecht, Annika C. Karlsoon, Marco Salemi:
Baseline CD4+ T Cell Counts Correlates with HIV-1 Synonymous Rate in HLA-B*5701 Subjects with Different Risk of Disease Progression. PLoS Comput. Biol. 10(9) (2014) - [c1]Gary B. Fogel, Enoch S. Liu, Marco Salemi, Susanna L. Lamers, Michael S. McGrath:
Evolved neural networks for HIV-1 co-receptor identification. IEEE Congress on Evolutionary Computation 2014: 2778-2784 - 2012
- [j3]Mattia C. F. Prosperi, Marco Salemi:
QuRe: software for viral quasispecies reconstruction from next-generation sequencing data. Bioinform. 28(1): 132-133 (2012)
2000 – 2009
- 2008
- [j2]Susanna L. Lamers, Marco Salemi, Michael S. McGrath, Gary B. Fogel:
Prediction of R5, X4, and R5X4 HIV-1 Coreceptor Usage with Evolved Neural Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 5(2): 291-300 (2008) - 2004
- [j1]Susanna L. Lamers, Scott Beason, Luke Dunlap, Robert Compton, Marco Salemi:
HIVbase: a PC/Windows-based software offering storage and querying power for locally held HIV-1 genetic, experimental and clinical data. Bioinform. 20(3): 436-438 (2004)
Coauthor Index
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