A penalized linear mixed model with generalized method of moments for prediction analysis on high-dimensional multi-omics data.
Xiaqiong WangYalu WenPublished in: Briefings Bioinform. (2022)
Keyphrases
- input data
- test data
- prediction model
- predictive model
- prior knowledge
- correlation analysis
- synthetic data
- generalized linear
- probabilistic model
- noisy data
- statistical model
- linear models
- parameter space
- mathematical model
- data analysis
- linear model
- prior information
- statistical analysis
- empirical data
- cost function
- experimental data
- statistical methods
- training samples
- regression analysis
- probability distribution
- high dimensional
- data sets
- objective function
- dimensional vector
- linear regression model
- data points
- input space
- high order
- variable selection
- similarity measure
- dimensional data
- multiple linear regression
- pairwise
- regression model
- learned models
- high dimensional data
- parameter estimation
- high dimensional datasets
- high dimensional data space
- missing data
- em algorithm
- data sources
- training data
- neural network
- ls svm
- prediction error
- linear regression
- multivariate time series
- clustering method
- least squares