Editorial: Network bioscience Volume II

Marco Antoniotti; Bud Mishra; Marco Pellegrini

doi:10.3389/fgene.2023.1256025

Editorial: Network bioscience Volume II

Front Genet. 2023 Jul 26:14:1256025. doi: 10.3389/fgene.2023.1256025. eCollection 2023.

Authors

Marco Antoniotti^{1

2}, Bud Mishra³, Marco Pellegrini⁴

Affiliations

¹ Data and Computational Biology Laboratory, Dipartimento di Informatica, Sistemistica e Comunicazione, Università Degli Studi di Milano-Bicocca, Milan, Italy.
² B4-Bicocca Bioinformatics Biostatistics and Bioimaging Centre, Università Degli Studi di Milano-Bicocca, Milan, Italy.
³ Courant Institute of Mathematical Sciences, New York University, New York, NY, United States.
⁴ Consiglio Nazionale Delle Ricerche, Pisa, Italy.

No abstract available

Keywords: causal networks; gene regulatory networks; knowledge graphs; metabolic graph models; network bioscience.

Publication types

Editorial

Grants and funding

This work was partially supported by the CRUK/AIRC/FC-AECC Accelerator Award #22790, Single Cell Cancer Evolution in the Clinic, by the FAQC 2021 Competitive Funding Program of the Università degli Studi di Milano-Bicocca, Milan, Italy, and by the European Commission PPPA-AIPC-2021 project “Towards an UNIque approach for artificial intelligence data-driven solutions to fight Childhood cAncer FOR EUrope,” LC-01815952/101052609, UNICA4EU. This work has been partially supported with co-funding of the European Union—Next-Generation EU, in the context of the National Recovery and Resilience Plan, Investment 1.5 Ecosystems of Innovation, Project Tuscany Health Ecosystem (THE), CUP: B83C22003920001. This work has been partially supported by the National Cancer Institute Physical Sciences-Oncology Center Grant U54 CA193313-01.