Editorial: Modern machine learning approaches for quantitative inference of gene regulation from genomic and epigenomic features

Journal: Frontiers in Plant Science • • Frontiers Media S.A. • ISSN: 1664-462X

Abstract

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Subjects & Keywords

How to Cite this Article

Michael Banf, Michael Banf, Kangmei Zhao, et al. (2023). "Editorial: Modern machine learning approaches for quantitative inference of gene regulation from genomic and epigenomic features". Frontiers in Plant Science. https://doi.org/10.3389/fpls.2023.1330793