Nicola Zamboni
Orcid: 0000-0003-1271-1021
According to our database1,
Nicola Zamboni
authored at least 13 papers
between 2005 and 2025.
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Bibliography
2025
2023
Regularized adversarial learning for normalization of multi-batch untargeted metabolomics data.
Bioinform., March, 2023
2022
Dagstuhl Reports, 2022
Self-supervised learning for analysis of temporal and morphological drug effects in cancer cell imaging data.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
Comparing representations of biological data learned with different AI paradigms, augmenting and cropping strategies.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
2020
Computational Metabolomics: From Cheminformatics to Machine Learning (Dagstuhl Seminar 20051).
Dagstuhl Reports, 2020
Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020
2017
Metabolic network segmentation: A probabilistic graphical modeling approach to identify the sites and sequential order of metabolic regulation from non-targeted metabolomics data.
PLoS Comput. Biol., 2017
2016
PLoS Comput. Biol., 2016
2012
Metabolite identification and molecular fingerprint prediction through machine learning.
Bioinform., 2012
2008
anNET: a tool for network-embedded thermodynamic analysis of quantitative metabolome data.
BMC Bioinform., 2008
An analytic and systematic framework for estimating metabolic flux ratios from <sup>13</sup><i>C </i>tracer experiments.
BMC Bioinform., 2008
2005
FiatFlux - a software for metabolic flux analysis from <sup>13</sup>C-glucose experiments.
BMC Bioinform., 2005