Correction to “A seven-step guide to spatial, agent-based modelling of tumour evolution”

IF 3.5 2区生物学 Q1 EVOLUTIONARY BIOLOGY

Evolutionary Applications Pub Date : 2024-07-09 DOI:10.1111/eva.13756

引用次数: 0

Abstract

Colyer, B., Bak, M., Basanta, D., & Noble, R. (2024). A seven-step guide to spatial, agent-based modelling of tumour evolution. Evolutionary Applications, 17, e13687.

The Acknowledgements section omitted to acknowledge funding from the National Cancer Institute of the National Institutes of Health under Award Number U54CA217376.

We apologize for this error.

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更正 "基于代理的肿瘤演变空间建模七步指南"。

[This corrects the article DOI: 10.1111/eva.13687.].

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Evolutionary Applications 生物-进化生物学

CiteScore

8.50

自引率

7.30%

发文量

175

审稿时长

6 months

期刊介绍： Evolutionary Applications is a fully peer reviewed open access journal. It publishes papers that utilize concepts from evolutionary biology to address biological questions of health, social and economic relevance. Papers are expected to employ evolutionary concepts or methods to make contributions to areas such as (but not limited to): medicine, agriculture, forestry, exploitation and management (fisheries and wildlife), aquaculture, conservation biology, environmental sciences (including climate change and invasion biology), microbiology, and toxicology. All taxonomic groups are covered from microbes, fungi, plants and animals. In order to better serve the community, we also now strongly encourage submissions of papers making use of modern molecular and genetic methods (population and functional genomics, transcriptomics, proteomics, epigenetics, quantitative genetics, association and linkage mapping) to address important questions in any of these disciplines and in an applied evolutionary framework. Theoretical, empirical, synthesis or perspective papers are welcome.