Pages that link to "Item:Q1621277"

The following pages link to Clustering longitudinal profiles using P-splines and mixed effects models applied to time-course gene expression data (Q1621277):

Displaying 16 items.

• Clustering gene expression time course data using mixtures of multivariate \(t\)-distributions (Q413359) (← links)
• Clustering of temporal gene expression data by regularized spline regression and an energy based similarity measure (Q609108) (← links)
• Editorial: The 2nd special issue on advances in mixture models (Q1621273) (← links)
• Adjusting background noise in cluster analyses of longitudinal data (Q1658439) (← links)
• Cluster analysis of longitudinal profiles with subgroups (Q1697471) (← links)
• Biclustering analysis of functionals via penalized fusion (Q2078535) (← links)
• Conditional functional clustering for longitudinal data with heterogeneous nonlinear patterns (Q2154229) (← links)
• A new distance with derivative information for functional \(k\)-means clustering algorithm (Q2198261) (← links)
• Dynamic Modeling of Conditional Quantile Trajectories, With Application to Longitudinal Snippet Data (Q3121183) (← links)
• (Q5004035) (← links)
• Grouped Generalized Estimating Equations for Longitudinal Data Analysis (Q6055758) (← links)
• Boosted-oriented probabilistic smoothing-spline clustering of series (Q6067169) (← links)
• Functional clustering methods for binary longitudinal data with temporal heterogeneity (Q6170537) (← links)
• Biclustering multivariate discrete longitudinal data (Q6190663) (← links)
• Clustering of longitudinal curves via a penalized method and EM algorithm (Q6567459) (← links)
• Subgroup analysis for longitudinal data via semiparametric additive mixed effects model (Q6594972) (← links)