Nicola Zamboni

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 10

Top Topics

Huge Volume Of Data

Metabolic Pathways

Biological Data

Computational Chemistry

Top Venues

Dagstuhl Reports

PLoS Comput. Biol.

Publications

Andrei Dmitrenko, Michelle Reid, Nicola Zamboni
Regularized adversarial learning for normalization of multi-batch untargeted metabolomics data. Bioinform. 39 (3) (2023)
Corey Broeckling, Timothy M. D. Ebbels, Ewy Mathé, Nicola Zamboni, Cecilia Wieder
Computational Metabolomics: From Spectra to Knowledge (Dagstuhl Seminar 22181). Dagstuhl Reports 12 (5) (2022)
Andrei Dmitrenko, Mauro M. Masiero, Nicola Zamboni
Comparing representations of biological data learned with different AI paradigms, augmenting and cropping strategies. MIDL (2022)
Andrei Dmitrenko, Mauro M. Masiero, Nicola Zamboni
Self-supervised learning for analysis of temporal and morphological drug effects in cancer cell imaging data. CoRR (2022)
Andrei Dmitrenko, Mauro M. Masiero, Nicola Zamboni
Comparing representations of biological data learned with different AI paradigms, augmenting and cropping strategies. CoRR (2022)
Andrei Dmitrenko, Mauro M. Masiero, Nicola Zamboni
Self-supervised learning for analysis of temporal and morphological drug effects in cancer cell imaging data. MIDL (2022)
Sebastian Böcker, Corey Broeckling, Emma Schymanski, Nicola Zamboni
Computational Metabolomics: From Cheminformatics to Machine Learning (Dagstuhl Seminar 20051). Dagstuhl Reports 10 (1) (2020)
Adrian Egli, Manuel Battegay, Andrea C. Büchler, Peter Bühlmann, Thierry Calandra, Philippe Eckert, Hansjakob Furrer, Gilbert Greub, Stephan M. Jakob, Laurent Kaiser, Stephen L. Leib, Stephan Marsch, Nicolai Meinshausen, Jean-Luc Pagani, Jerome Pugin, Gunnar Rätsch, Jacques Schrenzel, Reto Schüpbach, Martin Siegemund, Nicola Zamboni, Reinhard Zbinden, Annelies Zinkernagel, Karsten M. Borgwardt
SPHN/PHRT: Forming a Swiss-Wide Infrastructure for Data-Driven Sepsis Research. MIE (2020)
Andreas Kühne, Urs Mayr, Daniel C. Sévin, Manfred Claassen, Nicola Zamboni
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. 13 (6) (2017)
Maria Kogadeeva, Nicola Zamboni
SUMOFLUX: A Generalized Method for Targeted 13C Metabolic Flux Ratio Analysis. PLoS Comput. Biol. 12 (9) (2016)
Markus Heinonen, Huibin Shen, Nicola Zamboni, Juho Rousu
Metabolite identification and molecular fingerprint prediction through machine learning. Bioinform. 28 (18) (2012)
Nicola Zamboni, Anne Kümmel, Matthias Heinemann
anNET: a tool for network-embedded thermodynamic analysis of quantitative metabolome data. BMC Bioinform. 9 (2008)
Ari Rantanen, Juho Rousu, Paula Jouhten, Nicola Zamboni, Hannu Maaheimo, Esko Ukkonen
tracer experiments. BMC Bioinform. 9 (2008)
Nicola Zamboni, Eliane Fischer, Uwe Sauer
C-glucose experiments. BMC Bioinform. 6 (2005)