{"title":"更正 \"基于代理的肿瘤演变空间建模七步指南\"。","authors":"","doi":"10.1111/eva.13756","DOIUrl":null,"url":null,"abstract":"<p>Colyer, B., Bak, M., Basanta, D., & Noble, R. (2024). A seven-step guide to spatial, agent-based modelling of tumour evolution. <i>Evolutionary Applications</i>, 17, e13687.</p><p>The Acknowledgements section omitted to acknowledge funding from the National Cancer Institute of the National Institutes of Health under Award Number U54CA217376.</p><p>We apologize for this error.</p>","PeriodicalId":168,"journal":{"name":"Evolutionary Applications","volume":"17 7","pages":""},"PeriodicalIF":3.2000,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11232041/pdf/","citationCount":"0","resultStr":"{\"title\":\"Correction to “A seven-step guide to spatial, agent-based modelling of tumour evolution”\",\"authors\":\"\",\"doi\":\"10.1111/eva.13756\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Colyer, B., Bak, M., Basanta, D., & Noble, R. (2024). A seven-step guide to spatial, agent-based modelling of tumour evolution. <i>Evolutionary Applications</i>, 17, e13687.</p><p>The Acknowledgements section omitted to acknowledge funding from the National Cancer Institute of the National Institutes of Health under Award Number U54CA217376.</p><p>We apologize for this error.</p>\",\"PeriodicalId\":168,\"journal\":{\"name\":\"Evolutionary Applications\",\"volume\":\"17 7\",\"pages\":\"\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2024-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11232041/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Evolutionary Applications\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/eva.13756\",\"RegionNum\":2,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"EVOLUTIONARY BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Evolutionary Applications","FirstCategoryId":"99","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/eva.13756","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EVOLUTIONARY BIOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
[This corrects the article DOI: 10.1111/eva.13687.].
Correction to “A seven-step guide to spatial, agent-based modelling of tumour evolution”
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.
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.
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