癌症风险分析中突变表型和克隆选择优势的数学模型

IF 1.3 4区 生物学 Q3 BIOLOGY Theory in Biosciences Pub Date : 2022-06-04 DOI:10.1007/s12064-022-00371-z
Lingling Li, Ting Zhao, Xingshi He, Xinshe S. Yang, Tianhai Tian, Xinan Zhang
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Mathematical modeling for mutator phenotype and clonal selection advantage in the risk analysis of lung cancer
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来源期刊
Theory in Biosciences
Theory in Biosciences 生物-生物学
CiteScore
2.70
自引率
9.10%
发文量
21
审稿时长
3 months
期刊介绍: Theory in Biosciences focuses on new concepts in theoretical biology. It also includes analytical and modelling approaches as well as philosophical and historical issues. Central topics are: Artificial Life; Bioinformatics with a focus on novel methods, phenomena, and interpretations; Bioinspired Modeling; Complexity, Robustness, and Resilience; Embodied Cognition; Evolutionary Biology; Evo-Devo; Game Theoretic Modeling; Genetics; History of Biology; Language Evolution; Mathematical Biology; Origin of Life; Philosophy of Biology; Population Biology; Systems Biology; Theoretical Ecology; Theoretical Molecular Biology; Theoretical Neuroscience & Cognition.
期刊最新文献
Clustering systems of phylogenetic networks. MLACNN: an attention mechanism-based CNN architecture for predicting genome-wide DNA methylation. A biosemiotic interpretation of certain genital morphological structures in the spiders Dysdera erythrina and Dysdera crocata (Araneae: Dysderidae). On a population model with density dependence and Allee effect. Matrix stability and bifurcation analysis by a network-based approach.
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