Log-Linear Poisson Graphical Model with Hot-Deck Multiple Imputation
Select the threshold sigma for hd-MI.
Convert the result of imputedGLMnetwork or a matrix into a network.
Infer a network from RNA-seq expression.
Methods for 'GLMpath' objects.
Methods for 'HDImputed' objects.
Methods for 'HDpath' objects.
Multiple hot-deck imputation and network inference from RNA-seq data.
Impute missing row datasets with multiple hot deck.
View RNAseqNet User's Guide
Selection of the regularization parameter by StARS (Liu et al., 2010).
Methods for 'stars' objects.
Average intra-donor pool variance.
Infer log-linear Poisson Graphical Model with an auxiliary data set. Hot-deck multiple imputation method is used to improve the reliability of the inference with an auxiliary dataset. Standard log-linear Poisson graphical model can also be used for the inference and the Stability Approach for Regularization Selection (StARS) is implemented to drive the selection of the regularization parameter. The method is fully described in <doi:10.1093/bioinformatics/btx819>.