Claudio Angione - Search Results

Year	Number of Results
2012	1
2013	3
2014	1
2015	3
2016	2
2017	2
2018	6
2019	3
2020	2
2021	8
2022	3

1

Integrating splice-isoform expression into genome-scale models characterizes breast cancer metabolism.

Angione C. Angione C. Bioinformatics. 2018 Feb 1;34(3):494-501. doi: 10.1093/bioinformatics/btx562. Bioinformatics. 2018. PMID: 28968777

2

Multimodal regularised linear models with flux balance analysis for mechanistic integration of omics data.

Magazzù G, Zampieri G, Angione C. Magazzù G, et al. Among authors: angione c. Bioinformatics. 2021 May 11:btab324. doi: 10.1093/bioinformatics/btab324. Online ahead of print. Bioinformatics. 2021. PMID: 33974036

3

Situating agent-based modelling in population health research.

Silverman E, Gostoli U, Picascia S, Almagor J, McCann M, Shaw R, Angione C. Silverman E, et al. Among authors: angione c. Emerg Themes Epidemiol. 2021 Jul 30;18(1):10. doi: 10.1186/s12982-021-00102-7. Emerg Themes Epidemiol. 2021. PMID: 34330302 Free PMC article.

4

Integrated multi-omics analysis of ovarian cancer using variational autoencoders.

Hira MT, Razzaque MA, Angione C, Scrivens J, Sawan S, Sarker M. Hira MT, et al. Among authors: angione c. Sci Rep. 2021 Mar 18;11(1):6265. doi: 10.1038/s41598-021-85285-4. Sci Rep. 2021. PMID: 33737557 Free PMC article.

5

Machine and deep learning meet genome-scale metabolic modeling.

Zampieri G, Vijayakumar S, Yaneske E, Angione C. Zampieri G, et al. Among authors: angione c. PLoS Comput Biol. 2019 Jul 11;15(7):e1007084. doi: 10.1371/journal.pcbi.1007084. eCollection 2019 Jul. PLoS Comput Biol. 2019. PMID: 31295267 Free PMC article. Review.

6

Social dynamics modeling of chrono-nutrition.

Di Stefano A, Scatà M, Vijayakumar S, Angione C, La Corte A, Liò P. Di Stefano A, et al. Among authors: angione c. PLoS Comput Biol. 2019 Jan 30;15(1):e1006714. doi: 10.1371/journal.pcbi.1006714. eCollection 2019 Jan. PLoS Comput Biol. 2019. PMID: 30699206 Free PMC article.

7

A Practical Guide to Integrating Multimodal Machine Learning and Metabolic Modeling.

Vijayakumar S, Magazzù G, Moon P, Occhipinti A, Angione C. Vijayakumar S, et al. Among authors: angione c. Methods Mol Biol. 2022;2399:87-122. doi: 10.1007/978-1-0716-1831-8_5. Methods Mol Biol. 2022. PMID: 35604554

8

Optimization of Multi-Omic Genome-Scale Models: Methodologies, Hands-on Tutorial, and Perspectives.

Vijayakumar S, Conway M, Lió P, Angione C. Vijayakumar S, et al. Among authors: angione c. Methods Mol Biol. 2018;1716:389-408. doi: 10.1007/978-1-4939-7528-0_18. Methods Mol Biol. 2018. PMID: 29222764 Review.

9

Author Correction: Integrated multi‑omics analysis of ovarian cancer using variational autoencoders.

Hira MT, Razzaque MA, Angione C, Scrivens J, Sawan S, Sarker M. Hira MT, et al. Among authors: angione c. Sci Rep. 2021 Aug 11;11(1):16671. doi: 10.1038/s41598-021-95882-y. Sci Rep. 2021. PMID: 34381128 Free PMC article. No abstract available.

10

A mechanism-aware and multiomic machine-learning pipeline characterizes yeast cell growth.

Culley C, Vijayakumar S, Zampieri G, Angione C. Culley C, et al. Among authors: angione c. Proc Natl Acad Sci U S A. 2020 Aug 4;117(31):18869-18879. doi: 10.1073/pnas.2002959117. Epub 2020 Jul 16. Proc Natl Acad Sci U S A. 2020. PMID: 32675233 Free PMC article.

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