2 Search Results for "Degasperi, Andrea"

Document
DOI: 10.4230/LIPIcs.WABI.2025.11
Mutational Signature Refitting on Sparse Pan-Cancer Data

Authors: Gal Gilad, Teresa M. Przytycka, and Roded Sharan

Published in: LIPIcs, Volume 344, 25th International Conference on Algorithms for Bioinformatics (WABI 2025)

Abstract
Mutational processes shape cancer genomes, leaving characteristic marks that are termed signatures. The level of activity of each such process, or its signature exposure, provides important information on the disease, improving patient stratification and the prediction of drug response. Thus, there is growing interest in developing refitting methods that decipher those exposures. Previous work in this domain was unsupervised in nature, employing algebraic decomposition and probabilistic inference methods. Here we provide a supervised approach to the problem of signature refitting and show its superiority over current methods. Our method, SuRe, leverages a neural network model to capture correlations between signature exposures in real data. We show that SuRe outperforms previous methods on sparse mutation data from tumor type specific data sets, as well as pan-cancer data sets, with an increasing advantage as the data become sparser. We further demonstrate its utility in clinical settings.
Cite as

Gal Gilad, Teresa M. Przytycka, and Roded Sharan. Mutational Signature Refitting on Sparse Pan-Cancer Data. In 25th International Conference on Algorithms for Bioinformatics (WABI 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 344, pp. 11:1-11:23, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{gilad_et_al:LIPIcs.WABI.2025.11,
  author =	{Gilad, Gal and Przytycka, Teresa M. and Sharan, Roded},
  title =	{{Mutational Signature Refitting on Sparse Pan-Cancer Data}},
  booktitle =	{25th International Conference on Algorithms for Bioinformatics (WABI 2025)},
  pages =	{11:1--11:23},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-386-7},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{344},
  editor =	{Brejov\'{a}, Bro\v{n}a and Patro, Rob},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.WABI.2025.11},
  URN =		{urn:nbn:de:0030-drops-239374},
  doi =		{10.4230/LIPIcs.WABI.2025.11},
  annote =	{Keywords: mutational signatures, signature refitting, cancer genomics, genomic data analysis, somatic mutations}
}
Document
DOI: 10.4230/DagSemProc.09091.5
Modelling and analysis of the NF-$kappa$B pathway in Bio-PEPA

Authors: Federica Ciocchetta, Andrea Degasperi, John Heath, and Jane Hillston

Published in: Dagstuhl Seminar Proceedings, Volume 9091, Formal Methods in Molecular Biology (2009)

Abstract
In this work we present a Bio-PEPA model describing the Nuclear Factor $kappa$B (NF-$kappa$B) signalling pathway. In particular our model focuses on the dynamic response of NF-$kappa$B to an external stimulus. Each biochemical species in the pathway is represented by a specific Bio-PEPA component and the external stimulus is abstracted by Bio-PEPA events. The Bio-PEPA model is a formal intermediate representation of the pathway on which various kinds of analysis can be performed. Both stochastic and deterministic simulations are carried out to validate our model against the experimental data in the literature and to verify some properties, such as the impact of the stimulus duration and of the NF-$kappa$B initial amount on the behaviour of some species. Finally, sensitivity analysis is considered to investigate the most influential parameters of the model.
Cite as

Federica Ciocchetta, Andrea Degasperi, John Heath, and Jane Hillston. Modelling and analysis of the NF-$kappa$B pathway in Bio-PEPA. In Formal Methods in Molecular Biology. Dagstuhl Seminar Proceedings, Volume 9091, pp. 1-18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

Copy BibTex To Clipboard

@InProceedings{ciocchetta_et_al:DagSemProc.09091.5,
  author =	{Ciocchetta, Federica and Degasperi, Andrea and Heath, John and Hillston, Jane},
  title =	{{Modelling and analysis of the NF-\$kappa\$B pathway in Bio-PEPA}},
  booktitle =	{Formal Methods in Molecular Biology},
  pages =	{1--18},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{9091},
  editor =	{Rainer Breitling and David Roger Gilbert and Monika Heiner and Corrado Priami},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.09091.5},
  URN =		{urn:nbn:de:0030-drops-19911},
  doi =		{10.4230/DagSemProc.09091.5},
  annote =	{Keywords: Process algebras, NF-\$kappa\$B pathway, modelling, analysis}
}
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