標題: Titlebook: Epistasis; Methods and Protocol Jason H. Moore,Scott M. Williams Book 2015 Springer Science+Business Media New York 2015 Modern genetic ana [打印本頁] 作者: 加冕 時間: 2025-3-21 16:22
書目名稱Epistasis影響因子(影響力)
書目名稱Epistasis影響因子(影響力)學科排名
書目名稱Epistasis網(wǎng)絡(luò)公開度
書目名稱Epistasis網(wǎng)絡(luò)公開度學科排名
書目名稱Epistasis被引頻次
書目名稱Epistasis被引頻次學科排名
書目名稱Epistasis年度引用
書目名稱Epistasis年度引用學科排名
書目名稱Epistasis讀者反饋
書目名稱Epistasis讀者反饋學科排名
作者: esculent 時間: 2025-3-21 21:56
1064-3745 ation advice from the experts.Includes supplementary materia.This volume presents a valuable and readily reproducible collection of established and emerging techniques on modern genetic analyses. Chapters focus on statistical or data mining analyses, genetic architecture, the burden of multiple test作者: overbearing 時間: 2025-3-22 03:01 作者: Coronation 時間: 2025-3-22 07:25
https://doi.org/10.1007/978-1-4020-8263-4nse to long-term selection experiments. I show that epistasis provides a pool of variation that can contribute to an extended response to selection, but that this extended response will, at least under some circumstances, result in intermediate selection plateaus.作者: 追蹤 時間: 2025-3-22 12:31
Johan Huijsing,Rudy Plassche,Willy Sansen of the two, only . has clear-cut and consistent evidence for a marginal association. Unraveling the underlying reasons is important in understanding both genetic etiology and architecture as well as how to use genetics to provide better personalized treatments.作者: 賞錢 時間: 2025-3-22 14:50
Long-Term Selection Experiments: Epistasis and the Response to Selection,nse to long-term selection experiments. I show that epistasis provides a pool of variation that can contribute to an extended response to selection, but that this extended response will, at least under some circumstances, result in intermediate selection plateaus.作者: 賞錢 時間: 2025-3-22 20:52
Epistasis in the Risk of Human Neuropsychiatric Disease, of the two, only . has clear-cut and consistent evidence for a marginal association. Unraveling the underlying reasons is important in understanding both genetic etiology and architecture as well as how to use genetics to provide better personalized treatments.作者: Halfhearted 時間: 2025-3-22 23:58 作者: 金哥占卜者 時間: 2025-3-23 02:48 作者: Lineage 時間: 2025-3-23 06:33
High Speed 1-bit Sigma Delta Modulatorsng network centrality of genes that may reveal insights missed by individual genetic effects. We also discuss available tools to facilitate the construction and visualization of epistasis networks of GWAS data.作者: micronutrients 時間: 2025-3-23 10:09 作者: V切開 時間: 2025-3-23 14:06
Network Theory for Data-Driven Epistasis Networks,ng network centrality of genes that may reveal insights missed by individual genetic effects. We also discuss available tools to facilitate the construction and visualization of epistasis networks of GWAS data.作者: expository 時間: 2025-3-23 20:09
On the Partitioning of Genetic Variance with Epistasis,alysis of data through variance partitioning, focusing on the natural and orthogonal interactions (NOIA) model. We also discuss how epistasis and epistatic variance may influence the outcome of selection, a topic that is still a matter of debate among quantitative and evolutionary geneticists.作者: amputation 時間: 2025-3-24 00:18
Measuring Gene Interactions,vated measurements such as epistatic variance components has led to the misconception that epistasis is dynamically inert. Here, I review work showing that patterns of epistasis may have profound effects on evolutionary dynamics and discuss how these patterns can be measured.作者: 表皮 時間: 2025-3-24 05:45
Epistasis Analysis Using Artificial Intelligence, learning how to solve the problem at hand distinguishes computational evolution from other genetic programming approaches. We provide a general overview of this approach and then present a few examples of its application to real data.作者: 慢跑 時間: 2025-3-24 08:01
,Capacitating Epistasis—Detection and Role in the Genetic Architecture of Complex Traits,d. An overview of the theoretical foundation of the methods is presented together with a discussion on their implementation and available software for performing these analyses. We conclude by highlighting a few examples of capacitating epistasis described in the literature and its potential impacts on the genetics of complex traits.作者: Digitalis 時間: 2025-3-24 11:02
Domine M. W. Leenaerts,Peter W. H. de Vreedealysis of data through variance partitioning, focusing on the natural and orthogonal interactions (NOIA) model. We also discuss how epistasis and epistatic variance may influence the outcome of selection, a topic that is still a matter of debate among quantitative and evolutionary geneticists.作者: 瑪瑙 時間: 2025-3-24 18:52
Sotir Ouzounov,Hans Hegt,Arthur Van Roermundvated measurements such as epistatic variance components has led to the misconception that epistasis is dynamically inert. Here, I review work showing that patterns of epistasis may have profound effects on evolutionary dynamics and discuss how these patterns can be measured.作者: 隼鷹 時間: 2025-3-24 21:27
Marvin Onabajo,Jose Silva-Martinez learning how to solve the problem at hand distinguishes computational evolution from other genetic programming approaches. We provide a general overview of this approach and then present a few examples of its application to real data.作者: reperfusion 時間: 2025-3-25 02:16
Long-Term Selection Experiments: Epistasis and the Response to Selection,ic variation, and second, selection plateaus are frequently observed that last multiple generations before a response to selection is resumed. These features are usually attributed to the high mutation rates of quantitative traits, and the effects of linkage disequilibrium. Using previously publishe作者: Fierce 時間: 2025-3-25 05:33 作者: 使習慣于 時間: 2025-3-25 11:11
Biological Knowledge-Driven Analysis of Epistasis in Human GWAS with Application to Lipid Traits,udies (GWAS), mainly due to low power associated with such interaction tests. In this chapter, we integrate biological knowledge and human GWAS data to reveal epistatic interactions underlying quantitative lipid traits, which are major risk factors for coronary artery disease. To increase power to d作者: 新陳代謝 時間: 2025-3-25 12:59 作者: Monotonous 時間: 2025-3-25 18:12
Epistasis in the Risk of Human Neuropsychiatric Disease,ther tissue. In this chapter, two well-studied neuropsychiatric diseases are examined, Alzheimer’s disease (AD) and schizophrenia, which have been shown to have multiple and, often, replicated interactions that associate with clinical endpoints or related phenotypes. In each case, a single gene is r作者: breadth 時間: 2025-3-25 22:37 作者: Derogate 時間: 2025-3-26 02:36
Measuring Gene Interactions,s epistatic gene interactions from a measurement-theoretical perspective and argue that the standard measurements of epistasis in classical quantitative genetics have failed to capture aspects of epistasis that are relevant to selection dynamics and adaptation. Instead, the use of statistically moti作者: inspiration 時間: 2025-3-26 06:34
Two Rules for the Detection and Quantification of Epistasis and Other Interaction Effects, a deviation from the additive mode of combining main effects of gene substitutions. Furthermore, the definition is relative to a particular scale and epistasis can potentially be eliminated by a non-linear transformation of the underlying phenotype variables. The latter fact raises questions of the作者: gonioscopy 時間: 2025-3-26 09:23
Direct Approach to Modeling Epistasis,or genes (quantitative trait loci or QTLs) to select individuals with superior performance and qualities. QTL or genetic effects, including epistatic effects, can be defined at the genotypic (functional) and gene (statistical) levels. In the past, the functional or statistical genetic effects have b作者: BARGE 時間: 2025-3-26 13:35 作者: insightful 時間: 2025-3-26 17:39 作者: 安裝 時間: 2025-3-26 22:36 作者: dysphagia 時間: 2025-3-27 04:45 作者: 前奏曲 時間: 2025-3-27 07:47
Network Theory for Data-Driven Epistasis Networks,ost existing methods that investigate variant mutations or differential gene expression focus on individual effects, a complex system of gene interactions (epistasis) and pathways is likely needed to explain phenotypic variation. Herein, we examine methods for treating the interactions in these biol作者: 惡臭 時間: 2025-3-27 11:03
Epistasis Analysis Using Multifactor Dimensionality Reduction,c association studies. We provide a general overview of the method and then highlight some of the key functions of the open-source MDR software package that is freely distributed. We end with a few examples of published studies of complex human diseases that have used MDR.作者: 同位素 時間: 2025-3-27 17:25
Epistasis Analysis Using ReliefF,studies. We provide a general overview of the method and then highlight some of the modifications that have greatly improved its power for genetic analysis. We end with a few examples of published studies of complex human diseases that have used ReliefF.作者: MARS 時間: 2025-3-27 19:52
Epistasis Analysis Using Artificial Intelligence,l of our AI strategy is to analyze genome-wide genetics data as a human would using sources of expert knowledge as a guide. The methodology presented here is based on computational evolution, which is a type of genetic programming. The ability to generate interesting solutions while at the same time作者: OCTO 時間: 2025-3-27 23:34 作者: Sarcoma 時間: 2025-3-28 05:28 作者: 最后一個 時間: 2025-3-28 08:00
Smart Sensor Interfaces: An Introductioniethnic cohorts from ARIC, the Framingham Heart Study, and the Multi-Ethnic Study of Atherosclerosis. Both . and . are involved in the metabolism of lipids and lipoproteins, and . itself has been marginally associated with HDL-C. Furthermore, no significant interaction was detected using PPI and pat作者: 小卒 時間: 2025-3-28 13:00 作者: 蚊帳 時間: 2025-3-28 16:38 作者: Constant 時間: 2025-3-28 22:11 作者: 治愈 時間: 2025-3-29 00:26
Simulation of Functional Mixed Signal Testory-based quantitative methods reveal that levels of pleiotropy and epistasis are in-line with theoretical expectations. The results of the magnified “glaucoma” region of the network confirm the existence of well-documented interactions, supported by overlapping genes and biological pathways and mor作者: Canvas 時間: 2025-3-29 04:36 作者: Excise 時間: 2025-3-29 08:36 作者: Pert敏捷 時間: 2025-3-29 11:50
Epistasis for Quantitative Traits in ,, I review evidence for epistasis in . from the application of these methods, and conclude that additivity is an emergent property of underlying epistatic gene action for . quantitative traits. Such studies can be used to infer novel, highly interconnected genetic networks that are enriched for gene 作者: 安定 時間: 2025-3-29 18:41
Two Rules for the Detection and Quantification of Epistasis and Other Interaction Effects,ale type of the effect measure determines the reference model for defining epistasis. For instance, if effects are measured as differences, then the reference model has to be additive. If the reference effects are fold differences, then the reference model has to be multiplicative. A mathematical ju作者: achlorhydria 時間: 2025-3-29 22:33
Direct Approach to Modeling Epistasis,genetic effects is based on Fisher’s concept of average excess, which is closely related to the well-known concept of the average effect of a gene substitution. These definitions can be easily extended to cases of two or more loci as long as the loci are independent of each other. Two numerical exam作者: 暫停,間歇 時間: 2025-3-30 00:09 作者: AER 時間: 2025-3-30 05:46
Compositional Epistasis: An Epidemiologic Perspective,作者: ASTER 時間: 2025-3-30 09:08
R. Gillon,D. Vanhoenacker,J.-P. Colinge provide a general overview of the methods and highlight some of the modifications that have greatly improved its power for genetic analysis. We end with a few published studies of complex human diseases that have used these measures.作者: Intersect 時間: 2025-3-30 14:11 作者: Assignment 時間: 2025-3-30 16:33 作者: Canyon 時間: 2025-3-31 00:07 作者: covert 時間: 2025-3-31 02:30 作者: 青春期 時間: 2025-3-31 06:29 作者: Etching 時間: 2025-3-31 11:48
https://doi.org/10.1007/978-1-4020-8263-4ic variation, and second, selection plateaus are frequently observed that last multiple generations before a response to selection is resumed. These features are usually attributed to the high mutation rates of quantitative traits, and the effects of linkage disequilibrium. Using previously publishe作者: cortisol 時間: 2025-3-31 14:11 作者: airborne 時間: 2025-3-31 21:06 作者: 無聊點好 時間: 2025-4-1 01:01 作者: MOAT 時間: 2025-4-1 03:32
Johan Huijsing,Rudy Plassche,Willy Sansenther tissue. In this chapter, two well-studied neuropsychiatric diseases are examined, Alzheimer’s disease (AD) and schizophrenia, which have been shown to have multiple and, often, replicated interactions that associate with clinical endpoints or related phenotypes. In each case, a single gene is r作者: exclamation 時間: 2025-4-1 07:30
Domine M. W. Leenaerts,Peter W. H. de Vreederpretation of this variance partition is not trivial, especially concerning nonadditive components. In this chapter, we compile various uses of variance partitioning from published analyses, new simulations, and theoretical examples. We show ways in which advanced genetic modeling facilitates the an作者: Influx 時間: 2025-4-1 12:55 作者: nutrients 時間: 2025-4-1 16:33 作者: 反饋 時間: 2025-4-1 19:55
Martin Clara,Daniel Gruber,Wolfgang Klatzeror genes (quantitative trait loci or QTLs) to select individuals with superior performance and qualities. QTL or genetic effects, including epistatic effects, can be defined at the genotypic (functional) and gene (statistical) levels. In the past, the functional or statistical genetic effects have b作者: 引導(dǎo) 時間: 2025-4-1 23:53
