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朝向学习植物基因调控原理。

Toward learning the principles of plant gene regulation.

机构信息

Department of Biotechnology and Systems Biology, National Institute of Biology, Večna pot 111, 1000 Ljubljana, Slovenia.

Department of Biology and Biological Engineering, Chalmers University of Technology, Kemivägen 10, 412 96, Gothenburg, Sweden.

出版信息

Trends Plant Sci. 2022 Dec;27(12):1206-1208. doi: 10.1016/j.tplants.2022.08.010. Epub 2022 Sep 11.

Abstract

Advanced machine learning (ML) algorithms produce highly accurate models of gene expression, uncovering novel regulatory features in nucleotide sequences involving multiple cis-regulatory regions across whole genes and structural properties. These broaden our understanding of gene regulation and point to new principles to test and adopt in the field of plant science.

摘要

先进的机器学习 (ML) 算法可生成高度准确的基因表达模型,揭示涉及整个基因的多个顺式调控区域和结构特性的核苷酸序列中的新型调控特征。这些发现拓宽了我们对基因调控的理解,并为植物科学领域的新原理测试和应用提供了依据。

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