Pages that link to "Item:Q4547721"

The following pages link to Cluster analysis of gene expression dynamics (Q4547721):

Displaying 32 items.

• Bayesian clustering of replicated time-course gene expression data with weak signals (Q156467) (← links)
• Bayesian state space models for dynamic genetic network construction across multiple tissues (Q309414) (← links)
• Functional clustering in nested designs: modeling variability in reproductive epidemiology studies (Q483995) (← links)
• A novel HMM-based clustering algorithm for the analysis of gene expression time-course data (Q959329) (← links)
• Adaptive clustering for time series: application for identifying cell cycle expressed genes (Q961284) (← links)
• Gene hunting with forests for multigroup time course data (Q1017807) (← links)
• Statistical challenges in functional genomics. (With comments and a rejoinder). (Q1431220) (← links)
• Statistical dynamics of clustering in the genome structure (Q1602029) (← links)
• Clustering longitudinal profiles using P-splines and mixed effects models applied to time-course gene expression data (Q1621277) (← links)
• Clustering of short time-course gene expression data with dissimilar replicates (Q1639245) (← links)
• Panel data analysis: a survey on model-based clustering of time series (Q1761308) (← links)
• Time series clustering with ARMA mixtures (Q1764082) (← links)
• Clustering of unevenly sampled gene expression time-series data (Q1776502) (← links)
• Clustering for multivariate continuous and discrete longitudinal data (Q1951526) (← links)
• Network modeling in biology: statistical methods for gene and brain networks (Q2038287) (← links)
• Conditional functional clustering for longitudinal data with heterogeneous nonlinear patterns (Q2154229) (← links)
• An application of kernel methods to gene cluster temporal meta-analysis (Q2379643) (← links)
• Clustering of time-course gene expression data using functional data analysis (Q2459120) (← links)
• Mining categorical sequences from data using a hybrid clustering method (Q2514773) (← links)
• Bayesian clustering of DNA sequences using Markov chains and a stochastic partition model (Q3191810) (← links)
• Time-synchronized clustering of gene expression trajectories (Q3304907) (← links)
• Clustering Short Gene Expression Profiles (Q3596306) (← links)
• Bayesian Fourier clustering of gene expression data (Q4638837) (← links)
• Random coefficient autoregressive processes and the PUCK model with fluctuating potential (Q5006887) (← links)
• An evaluation of a novel approach for clustering genes with dissimilar replicates (Q5055222) (← links)
• Clustering time-course microarray data using functional Bayesian infinite mixture model (Q5126932) (← links)
• Cluster-based network model for time-course gene expression data (Q5308146) (← links)
• State-of-the-art of Cluster Analysis of Gene Expression Data (Q5319675) (← links)
• (Q5456077) (← links)
• Comparing the continuous representation of time-series expression profiles to identify differentially expressed genes (Q5460804) (← links)
• The Clustering of Regression Models Method with Applications in Gene Expression Data (Q5492092) (← links)
• Bayesian modeling of factorial time-course data with applications to a bone aging gene expression study (Q5861482) (← links)