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功能作图的混合效应模型开发
Translated title of the contribution
:
Mixed-effect model development for functional mapping
Zijian Wang
, Meixia Ye
, Han Zhang
, Rongling Wu
Department of Public Health Sciences
Division of Biostatistics and Bioinformatics
Penn State Cancer Institute
Cancer Institute, Cancer Control
Research output
:
Contribution to journal
›
Article
›
peer-review
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Keyphrases
Fixed Effects
100%
Mixed-effects Model
100%
Model-driven Development
100%
Functional Mapping
100%
Random Effects
77%
Mapping Model
55%
Kinship Relations
44%
Heritability
33%
Quantitative Trait Loci
22%
Functional Localization
22%
Variance-covariance
22%
Discovery Rate
22%
Escherichia Coli
11%
Software Development
11%
Mixed Effects
11%
Matrix Models
11%
Population Impact
11%
Escherichia Coli Strains
11%
Random Effects Model
11%
Computer Simulation Results
11%
Calculation Method
11%
Mixed Models
11%
False Positive Rate
11%
Model Combining
11%
Kinship
11%
Strain Mapping
11%
Solid Foundation
11%
Effect Factors
11%
Relationship Model
11%
Covariance Model
11%
Mixed Model Approach
11%
Restricted Maximum Likelihood
11%
Legendre
11%
Q-matrix
11%
SNP Genotyping
11%
Covariance Parameters
11%
Maximum Likelihood Estimation Method
11%
Dynamic Culture
11%
K-model
11%
Locus Discovery
11%
Growth Data
11%
Marker Loci
11%
Covariate Factors
11%
Computer Science
Model Development
100%
Mixed Effect Model
100%
Estimation Method
50%
False Positive Rate
50%
maximum-likelihood
50%
Likelihood Estimation
50%
Model Analysis
50%
Great Number
50%
Relationship Model
50%
Computational Simulation
50%
Mathematics
Random Effect
100%
Variance
33%
Residuals
33%
Quantitative Trait
33%
Random Effects Model
33%
Mixed Model
33%
Model Matrix
16%
Covariate
16%
Maximum Likelihood
16%
False Positive Rate
16%
Covariance Model
16%
Estimation Method
16%
Factor Effect
16%
Computer Simulation
16%
Covariance Parameter
16%