arXiv: Quantitative Methods最新文献_第7页

Caracterização de circuitos pecuários com base em redes de movimentação de animais 基于动物移动网络的牲畜回路特征

arXiv: Quantitative Methods Pub Date : 2012-10-05 DOI: 10.11606/T.10.2012.tde-24042014-075742

G. Filho, Jos e

{"title":"Caracterização de circuitos pecuários com base em redes de movimentação de animais","authors":"G. Filho, Jos e","doi":"10.11606/T.10.2012.tde-24042014-075742","DOIUrl":"https://doi.org/10.11606/T.10.2012.tde-24042014-075742","url":null,"abstract":"A network is a set of nodes that are linked together by a set of edges. Networks can represent any set of objects that have relations among themselves. Communities are sets of nodes that are related in an important way, probably sharing common properties and/or playing similar roles within a network. When network analysis is applied to study the livestock movement patterns, the epidemiological units of interest (farm premises, counties, states, countries, etc.) are represented as nodes, and animal movements between the nodes are represented as the edges of a network. Unraveling a network structure, and hence the trade preferences and pathways, could be very useful to a researcher or a decision-maker. We implemented a community detection algorithm to find livestock communities that is consistent with the definition of a livestock production zone, assuming that a community is a group of farm premises in which an animal is more likely to stay during its life time than expected by chance. We applied this algorithm to the network of within animal movements made inside the State of Mato Grosso, for the year of 2007. This database holds information about 87,899 premises and 521,431 movements throughout the year, totalizing 15,844,779 animals moved. The community detection algorithm achieved a network partition that shows a clear geographical and commercial pattern, two crucial features to preventive veterinary medicine applications, and also has a meaningful interpretation in trade networks where links emerge from the choice of trader nodes.","PeriodicalId":119149,"journal":{"name":"arXiv: Quantitative Methods","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115280164","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Iterative Approximate Solutions of Kinetic Equations for Reversible Enzyme Reactions 可逆酶反应动力学方程的迭代近似解

arXiv: Quantitative Methods Pub Date : 2012-08-03 DOI: 10.4236/NS.2013.56091

S. Khoshnaw

引用次数: 9

Ising Models for Inferring Network Structure From Spike Data 从峰值数据推断网络结构的Ising模型

arXiv: Quantitative Methods Pub Date : 2011-06-09 DOI: 10.1201/B14756-31

J. Hertz, Y. Roudi, J. Tyrcha

引用次数: 24

Errors in Length-weight Parameters at FishBase.org 在FishBase.org中的长度-权重参数错误

arXiv: Quantitative Methods Pub Date : 2011-04-27 DOI: 10.1038/NPRE.2011.5927.1

Simeon Cole-Fletcher, Lucas Marin-Salcedo, A. Rana, M. Courtney

引用次数: 13

Stochastic Modeling in Systems Biology 系统生物学中的随机建模

arXiv: Quantitative Methods Pub Date : 2011-04-23 DOI: 10.1166/JAMA.2012.1007

J. Lei

引用次数: 30

Monte-Carlo Simulation of a Multi-Dimensional Switch-Like Model of Stem Cell Differentiation 干细胞分化多维开关模型的蒙特卡罗模拟

arXiv: Quantitative Methods Pub Date : 2011-02-28 DOI: 10.5772/15474

M. Andrecut

{"title":"Monte-Carlo Simulation of a Multi-Dimensional Switch-Like Model of Stem Cell Differentiation","authors":"M. Andrecut","doi":"10.5772/15474","DOIUrl":"https://doi.org/10.5772/15474","url":null,"abstract":"The process controlling the diferentiation of stem, or progenitor, cells into one specific functional direction is called lineage specification. An important characteristic of this process is the multi-lineage priming, which requires the simultaneous expression of lineage-specific genes. Prior to commitment to a certain lineage, it has been observed that these genes exhibit intermediate values of their expression levels. Multi-lineage differentiation has been reported for various progenitor cells, and it has been explained through the bifurcation of a metastable state. During the differentiation process the dynamics of the core regulatory network follows a bifurcation, where the metastable state, corresponding to the progenitor cell, is destabilized and the system is forced to choose between the possible developmental alternatives. While this approach gives a reasonable interpretation of the cell fate decision process, it fails to explain the multi-lineage priming characteristic. Here, we describe a new multi-dimensional switch-like model that captures both the process of cell fate decision and the phenomenon of multi-lineage priming. We show that in the symmetrical interaction case, the system exhibits a new type of degenerate bifurcation, characterized by a critical hyperplane, containing an infinite number of critical steady states. This critical hyperplane may be interpreted as the support for the multi-lineage priming states of the progenitor. Also, the cell fate decision (the multi-stability and switching behavior) can be explained by a symmetry breaking in the parameter space of this critical hyperplane. These analytical results are confirmed by Monte-Carlo simulations of the corresponding chemical master equations.","PeriodicalId":119149,"journal":{"name":"arXiv: Quantitative Methods","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130288729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Sparse Partitioning: Nonlinear regression with binary or tertiary predictors, with application to association studies 稀疏分割:二元或三级预测因子的非线性回归，应用于关联研究

arXiv: Quantitative Methods Pub Date : 2011-01-04 DOI: 10.1214/10-AOAS411

D. Speed, Simon Tavar'e

{"title":"Sparse Partitioning: Nonlinear regression with binary or tertiary predictors, with application to association studies","authors":"D. Speed, Simon Tavar'e","doi":"10.1214/10-AOAS411","DOIUrl":"https://doi.org/10.1214/10-AOAS411","url":null,"abstract":"This paper presents Sparse Partitioning, a Bayesian method for identifying predictors that either individually or in combination with others affect a response variable. The method is designed for regression problems involving binary or tertiary predictors and allows the number of predictors to exceed the size of the sample, two properties which make it well suited for association studies. Sparse Partitioning differs from other regression methods by placing no restrictions on how the predictors may influence the response. To compensate for this generality, Sparse Partitioning implements a novel way of exploring the model space. It searches for high posterior probability partitions of the predictor set, where each partition defines groups of predictors that jointly influence the response. The result is a robust method that requires no prior knowledge of the true predictor--response relationship. Testing on simulated data suggests Sparse Partitioning will typically match the performance of an existing method on a data set which obeys the existing method's model assumptions. When these assumptions are violated, Sparse Partitioning will generally offer superior performance.","PeriodicalId":119149,"journal":{"name":"arXiv: Quantitative Methods","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125949977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Non-extensive radiobiology Non-extensive放射生物学

arXiv: Quantitative Methods Pub Date : 2010-06-17 DOI: 10.1063/1.3573620

O. Sotolongo-Grau, Daniel Rodr'iguez-P'erez, J. Antoranz, O. Sotolongo-Costa

引用次数: 4

Gains in Power from Structured Two-Sample Tests of Means on Graphs 图上均值的结构化双样本检验的功率增益

arXiv: Quantitative Methods Pub Date : 2010-06-03 DOI: 10.1214/11-AOAS528

Laurent Jacob, P. Neuvial, S. Dudoit

引用次数: 35

Making it Possible: Constructing a Reliable Mechanism from a Finite Trajectory 使其成为可能:从有限轨迹构建可靠的机构

arXiv: Quantitative Methods Pub Date : 2009-12-20 DOI: 10.1002/9781118131374.CH13

O. Flomenbom

{"title":"Making it Possible: Constructing a Reliable Mechanism from a Finite Trajectory","authors":"O. Flomenbom","doi":"10.1002/9781118131374.CH13","DOIUrl":"https://doi.org/10.1002/9781118131374.CH13","url":null,"abstract":"Deducing an underlying multi-substate on-off kinetic scheme (KS) from the statistical properties of a two-state trajectory is the aim from many experiments in biophysics and chemistry, such as, ion channel recordings, enzymatic activity and structural dynamics of bio-molecules. Doing so is almost always impossible, as the mapping of a KS into a two-state trajectory leads to the loss of information about the KS (almost always). Here, we present the optimal way to solve this problem. It is based on unique forms of reduced dimensions (RD). RD forms are on-off networks with connections only between substates of different states, where the connections can have multi-exponential waiting time probability density functions (WT-PDFs). A RD form has the simplest toplogy that can reproduce a given data. In theory, only a single RD form can be constructed from the full data (hence its uniqueness), still this task is not easy when dealing with finite data. For doing so, a toolbox made of known statistical methods in data analysis and new statistical methods and numerical algorithms develped for this problem is presented. Our toolbox is self-contained: it builds a mechanism based only on the information it extracts from the data. The implementation of the toolbox on the data is fast. The toolbox is automated and is available for academic research upon electronic request.","PeriodicalId":119149,"journal":{"name":"arXiv: Quantitative Methods","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131134013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2