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Implementing Toy Models in Python 在Python中实现玩具模型
IF 3.1 4区 生物学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY Pub Date : 2022-01-01 DOI: 10.1007/978-981-16-5018-5_5
A. Kimura
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引用次数: 0
Modeling Feedback Regulations 建模反馈规则
IF 3.1 4区 生物学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY Pub Date : 2022-01-01 DOI: 10.1007/978-981-16-5018-5_10
A. Kimura
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引用次数: 0
Mechanics of the Cell 细胞力学
IF 3.1 4区 生物学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY Pub Date : 2022-01-01 DOI: 10.1007/978-981-16-5018-5_3
A. Kimura
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引用次数: 0
Diversity of the Cell 细胞的多样性
IF 3.1 4区 生物学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY Pub Date : 2022-01-01 DOI: 10.1007/978-981-16-5018-5_7
A. Kimura
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引用次数: 1
Cell Architectonics 细胞结构设计
IF 3.1 4区 生物学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY Pub Date : 2022-01-01 DOI: 10.1007/978-981-16-5018-5_2
A. Kimura
{"title":"Cell Architectonics","authors":"A. Kimura","doi":"10.1007/978-981-16-5018-5_2","DOIUrl":"https://doi.org/10.1007/978-981-16-5018-5_2","url":null,"abstract":"","PeriodicalId":45660,"journal":{"name":"Quantitative Biology","volume":"1 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"51118870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Development of the Cell over Time (Perspectives) 细胞随时间的发展(视角)
IF 3.1 4区 生物学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY Pub Date : 2022-01-01 DOI: 10.1007/978-981-16-5018-5_11
A. Kimura
{"title":"Development of the Cell over Time (Perspectives)","authors":"A. Kimura","doi":"10.1007/978-981-16-5018-5_11","DOIUrl":"https://doi.org/10.1007/978-981-16-5018-5_11","url":null,"abstract":"","PeriodicalId":45660,"journal":{"name":"Quantitative Biology","volume":"1 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"51118820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Randomness, Diffusion, and Probability 随机、扩散和概率
IF 3.1 4区 生物学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY Pub Date : 2022-01-01 DOI: 10.1007/978-981-16-5018-5_8
A. Kimura
{"title":"Randomness, Diffusion, and Probability","authors":"A. Kimura","doi":"10.1007/978-981-16-5018-5_8","DOIUrl":"https://doi.org/10.1007/978-981-16-5018-5_8","url":null,"abstract":"","PeriodicalId":45660,"journal":{"name":"Quantitative Biology","volume":"1 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"51119526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Quantitative Biology: A Practical Introduction 定量生物学:实用导论
IF 3.1 4区 生物学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY Pub Date : 2022-01-01 DOI: 10.1007/978-981-16-5018-5
A. Kimura
{"title":"Quantitative Biology: A Practical Introduction","authors":"A. Kimura","doi":"10.1007/978-981-16-5018-5","DOIUrl":"https://doi.org/10.1007/978-981-16-5018-5","url":null,"abstract":"","PeriodicalId":45660,"journal":{"name":"Quantitative Biology","volume":"1 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"51118711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Introduction to Quantitative Biology 定量生物学概论
IF 3.1 4区 生物学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY Pub Date : 2022-01-01 DOI: 10.1007/978-981-16-5018-5_1
A. Kimura
{"title":"Introduction to Quantitative Biology","authors":"A. Kimura","doi":"10.1007/978-981-16-5018-5_1","DOIUrl":"https://doi.org/10.1007/978-981-16-5018-5_1","url":null,"abstract":"","PeriodicalId":45660,"journal":{"name":"Quantitative Biology","volume":"1 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"51118747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Integrative modeling of transmitted and de novo variants identifies novel risk genes for congenital heart disease. 传播和新发变异的综合建模确定了先天性心脏病的新风险基因。
IF 3.1 4区 生物学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY Pub Date : 2021-06-01 DOI: 10.15302/j-qb-021-0248
Mo Li, Xue Zeng, Chentian Jin, S. Jin, W. Dong, Martina Brueckner, R. Lifton, Q. Lu, Hongyu Zhao
BackgroundWhole-exome sequencing (WES) studies have identified multiple genes enriched for de novo mutations (DNMs) in congenital heart disease (CHD) probands. However, risk gene identification based on DNMs alone remains statistically challenging due to heterogenous etiology of CHD and low mutation rate in each gene.MethodsIn this manuscript, we introduce a hierarchical Bayesian framework for gene-level association test which jointly analyzes de novo and rare transmitted variants. Through integrative modeling of multiple types of genetic variants, gene-level annotations, and reference data from large population cohorts, our method accurately characterizes the expected frequencies of both de novo and transmitted variants and shows improved statistical power compared to analyses based on DNMs only.ResultsApplied to WES data of 2,645 CHD proband-parent trios, our method identified 15 significant genes, half of which are novel, leading to new insights into the genetic bases of CHD.ConclusionThese results showcase the power of integrative analysis of transmitted and de novo variants for disease gene discovery.
全外显子组测序(WES)研究已经在先天性心脏病(CHD)先显子中发现了多个富集新发突变(dnm)的基因。然而,由于冠心病的病因异质性和每个基因的低突变率,仅基于dnm的风险基因识别在统计上仍然具有挑战性。方法引入层次贝叶斯关联检验框架,对新发变异和罕见遗传变异进行联合分析。通过对多种类型的遗传变异、基因水平注释和来自大群体队列的参考数据的综合建模,我们的方法准确地表征了新生和传播变异的预期频率,与仅基于dnm的分析相比,显示出更高的统计能力。结果应用于2645例冠心病先证父母三人组的WES数据,我们的方法鉴定出15个重要基因,其中一半是新的基因,为冠心病的遗传基础提供了新的见解。结论这些结果显示了遗传变异和新生变异的综合分析在疾病基因发现中的作用。
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引用次数: 4
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Quantitative Biology
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