dataService

您的位置: 首页 > 数据服务 > 数据列表页

筛选

共检索到193条 ,权限内显示50条;

Data from: Genealogical working distributions for Bayesian model testing with phylogenetic uncertainty
负责人:
关键词:
working distribution;marginal likelihood;MCMC;phylogenetics;Bayes factor;Bayesian inference;coalescent model
DOI:
doi:10.5061/dryad.8tm76
摘要:
onary and population genetic models on empirical data sets, but considerable computational demands hamper their widespread adoption. Further, when very diffuse, but proper
Data from: Model selection and parameter inference in phylogenetics using nested sampling
负责人:
关键词:
marginal likelihood;parameter inference;model selection;nested sampling
DOI:
doi:10.5061/dryad.220d6t5
摘要:
. This quantity is commonly used for comparing different evolutionary models, but its calculation, even for simple models, incurs high computational cost. Another
Data from: A unified rheological model for cells and cellularised materials
负责人:
关键词:
Tissue rheology;Fractional viscoelasticity;Cell rheology
DOI:
doi:10.5061/dryad.s853qg7
摘要:
similarities and differences in reported behaviour across experimental methods and research groups. It also sets the foundations for more accurate computational models
Data from: Using an insect mushroom body circuit to encode route memory in complex natural environments
负责人:
关键词:
ant mushroom body navigation visual homing visual compass infomax
DOI:
doi:10.5061/dryad.pf66v
摘要:
lex natural environments. We further demonstrate that abstracting the key computational principles of this circuit, which include one-shot learning of sparse codes, enables
Data from:A computational study of cancer hyperthermia based on vascular magnetic nanoconstructs
负责人:
关键词:
embedded multiscale method;cancer hyperthermia;nanotechnology;finite element simulations;heat and mass transfer
DOI:
doi:10.5061/dryad.20c5c
摘要:
and heat transport in biological tissues. The model is defined at the scale of the tumour microenvironment and an advanced computational scheme called the embedded
Data from: Multiresponse algorithms for community-level modeling: review of theory, applications, and comparison to species distribution models
负责人:
关键词:
DOI:
doi:10.5061/dryad.99dc0
摘要:
of computational efficiency, modeling rare species, and projecting to no-analog climates. A major shortcoming of CLMs is their reliance on presence-absence
Data from: Improved inference of site-specific positive selection under a generalized parametric codon model when there are multinucleotide mutati
负责人:
关键词:
DOI:
doi:10.5061/dryad.m4dr156
摘要:
for proteins often relies on estimation of the nonsynonymous to synonymous ratio (?=dN/dS) within a codon model. However, to ease computational difficulti
Data from: Assessing parameter identifiability in phylogenetic models using Data Cloning
负责人:
关键词:
Data Cloning;Bayesian estimation in Phylogenetics;Parameter Identifiability;maximum likelihood
DOI:
doi:10.5061/dryad.rr6400b4
摘要:
fiability while investigating complex modeling scenarios, where getting closed-form expressions in a probabilistic study is complicated. Furthermore, here we also show how DC
Data from: A penalized likelihood framework for high- dimensional phylogenetic comparative methods and an application to new-world mo
负责人:
关键词:
approximate LOOCV;large p small n;Generalized Information Criteria;phylogenetic signal;LASSO;Shrinkage;new world monkeys;Phylogenetic PCA;Evolutionary covariances;Regularization;Ridge;brain shape
DOI:
doi:10.5061/dryad.rf7317t
摘要:
t penalized likelihood models can be efficiently compared using Generalized Information Criterion (GIC). We implement these methods, as well as the related estimati
Data from: Computational research on mobile pastoralism using agent-based modeling and satellite imagery
负责人:
关键词:
satellite image analysis;Agent-Based Modeling;Pastoralism;MODIS
DOI:
doi:10.5061/dryad.s4h26
摘要:
w computational approach for studying mobile pastoralism that overcomes these issues. Combining multi-temporal satellite images and agent-based modeling allows

意 见 箱

匿名:登录

个人用户登录

找回密码

第三方账号登录

忘记密码

个人用户注册

必须为有效邮箱
6~16位数字与字母组合
6~16位数字与字母组合
请输入正确的手机号码

信息补充