Nicola Zamboni

15 papers Journal 12Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Flows on convex polytopes.
CoRR
Tomek Diederen, Nicola Zamboni
2023 J jnl
Regularized adversarial learning for normalization of multi-batch untargeted metabolomics data.
Bioinform.
Andrei Dmitrenko, Michelle Reid, Nicola Zamboni
2022 — conf
Comparing representations of biological data learned with different AI paradigms, augmenting and cropping strategies.
MIDL
Andrei Dmitrenko, Mauro M. Masiero, Nicola Zamboni
2022 J jnl
Comparing representations of biological data learned with different AI paradigms, augmenting and cropping strategies.
CoRR
Andrei Dmitrenko, Mauro M. Masiero, Nicola Zamboni
2022 J jnl
Computational Metabolomics: From Spectra to Knowledge (Dagstuhl Seminar 22181).
Dagstuhl Reports
Corey Broeckling, Timothy M. D. Ebbels, Ewy A. Mathé, Nicola Zamboni, Cecilia Wieder
2022 — conf
Self-supervised learning for analysis of temporal and morphological drug effects in cancer cell imaging data.
MIDL
Andrei Dmitrenko, Mauro M. Masiero, Nicola Zamboni
2022 J jnl
Self-supervised learning for analysis of temporal and morphological drug effects in cancer cell imaging data.
CoRR
Andrei Dmitrenko, Mauro M. Masiero, Nicola Zamboni
2020 J jnl
Computational Metabolomics: From Cheminformatics to Machine Learning (Dagstuhl Seminar 20051).
Dagstuhl Reports
Sebastian Böcker, Corey Broeckling, Emma Schymanski, Nicola Zamboni
2020 — conf
SPHN/PHRT: Forming a Swiss-Wide Infrastructure for Data-Driven Sepsis Research.
MIE
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
2017 J jnl
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.
Andreas Kühne, Urs Mayr, Daniel C. Sévin, Manfred Claassen, Nicola Zamboni
2016 J jnl
SUMOFLUX: A Generalized Method for Targeted 13C Metabolic Flux Ratio Analysis.
PLoS Comput. Biol.
Maria Kogadeeva, Nicola Zamboni
2012 J jnl
Metabolite identification and molecular fingerprint prediction through machine learning.
Bioinform.
Markus Heinonen, Huibin Shen, Nicola Zamboni, Juho Rousu
2008 J jnl
An analytic and systematic framework for estimating metabolic flux ratios from
BMC Bioinform.
Ari Rantanen, Juho Rousu, Paula Jouhten, Nicola Zamboni, Hannu Maaheimo, Esko Ukkonen
2008 J jnl
anNET: a tool for network-embedded thermodynamic analysis of quantitative metabolome data.
BMC Bioinform.
Nicola Zamboni, Anne Kümmel, Matthias Heinemann
2005 J jnl
FiatFlux - a software for metabolic flux analysis from
BMC Bioinform.
Nicola Zamboni, Eliane Fischer, Uwe Sauer