Editorial: Insights in computational genomics: 2022

Richard D Emes; Mehdi Pirooznia; Quan Zou; Marco Pellegrini

doi:10.3389/fgene.2023.1256011

Editorial: Insights in computational genomics: 2022

Front Genet. 2023 Jul 24:14:1256011. doi: 10.3389/fgene.2023.1256011. eCollection 2023.

Authors

Richard D Emes¹, Mehdi Pirooznia^{2

3}, Quan Zou⁴, Marco Pellegrini⁵

Affiliations

¹ Nottingham Trent University, Nottingham, United Kingdom.
² School of Medicine, Johns Hopkins University, Baltimore, MD, United States.
³ Pharmaceutical Data Sciences, R&D Johnson & Johnson, Boston, MA, United States.
⁴ Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China.
⁵ Consiglio Nazionale delle Ricerche, Pisa, Italy.

No abstract available

Keywords: cancer studies; computational genomics; deep learning; human genomic variation; single cell RNA-seq technology.

Publication types

Editorial

Grants and funding

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.