Sergio Baranzini
Orcid: 0000-0003-0067-194X
According to our database1,
Sergio Baranzini
authored at least 20 papers
between 2006 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2023
Biomonitoring and precision health in deep space supported by artificial intelligence.
Nat. Mac. Intell., March, 2023
Biological research and self-driving labs in deep space supported by artificial intelligence.
Nat. Mac. Intell., March, 2023
The scalable precision medicine open knowledge engine (SPOKE): a massive knowledge graph of biomedical information.
Bioinform., February, 2023
CoRR, 2023
2022
Embedding electronic health records onto a knowledge network recognizes prodromal features of multiple sclerosis and predicts diagnosis.
J. Am. Medical Informatics Assoc., 2022
A Biomedical Open Knowledge Network Harnesses the Power of AI to Understand Deep Human Biology.
AI Mag., 2022
Proceedings of the SC22: International Conference for High Performance Computing, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
2021
Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs.
CoRR, 2021
Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health.
CoRR, 2021
2015
Heterogeneous Network Edge Prediction: A Data Integration Approach to Prioritize Disease-Associated Genes.
PLoS Comput. Biol., 2015
iCTNet2: integrating heterogeneous biological interactions to understand complex traits.
F1000Research, 2015
iPINBPA: An Integrative Network-Based Functional Module Discovery Tool for Genome-Wide Association Studies.
Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015
2012
BMC Bioinform., 2012
2011
iCTNet: A Cytoscape plugin to produce and analyze integrative complex traits networks.
BMC Bioinform., 2011
Proceedings of the Biocomputing 2011: Proceedings of the Pacific Symposium, 2011
2006
Predictive modeling of therapy response in multiple sclerosis using gene expression data.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
A Fast Multivariate Feature-Selection/Classification Approach for Prediction of Therapy Response in Multiple Sclerosis.
Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2006
A Systematic Approach for Identifying Regulatory Interactions in Large Temporal Gene Expression Datasets from Peripheral Blood.
Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2006