Pages that link to "Item:Q959329"

The following pages link to A novel HMM-based clustering algorithm for the analysis of gene expression time-course data (Q959329):

Displaying 10 items.

• Noise fuzzy clustering of time series by autoregressive metric (Q478532) (← links)
• Clustering of temporal gene expression data by regularized spline regression and an energy based similarity measure (Q609108) (← links)
• Identifying cluster number for subspace projected functional data clustering (Q901600) (← links)
• Editorial: 2nd special issue on statistical signal extraction and filtering (Q1020884) (← links)
• Clustering time series gene expression data based on sum-of-exponentials fitting (Q2570560) (← links)
• A cluster algorithm for time-course gene expression profile based on affinity propagation (Q2990435) (← links)
• Time-synchronized clustering of gene expression trajectories (Q3304907) (← links)
• Cluster analysis of gene expression dynamics (Q4547721) (← links)
• Cluster-based network model for time-course gene expression data (Q5308146) (← links)
• Bayesian modeling of factorial time-course data with applications to a bone aging gene expression study (Q5861482) (← links)