Pages that link to "Item:Q413359"

The following pages link to Clustering gene expression time course data using mixtures of multivariate \(t\)-distributions (Q413359):

Displaying 30 items.

• Discussion of `Model-based clustering and classification with non-normal mixture distributions' by Lee and McLachlan (Q257613) (← links)
• Analyzing gene expression time-courses based on multi-resolution shape mixture model (Q338684) (← links)
• Dimension reduction for model-based clustering via mixtures of multivariate \(t\)-distributions (Q369352) (← links)
• Model-based clustering, classification, and discriminant analysis via mixtures of multivariate \(t\)-distributions (Q693333) (← links)
• On the characterization of flowering curves using Gaussian mixture models (Q738681) (← links)
• A novel HMM-based clustering algorithm for the analysis of gene expression time-course data (Q959329) (← links)
• Cluster analysis using multivariate normal mixture models to detect differential gene expression with microarray data (Q1010400) (← links)
• Clustering longitudinal profiles using P-splines and mixed effects models applied to time-course gene expression data (Q1621277) (← links)
• Model-based clustering via linear cluster-weighted models (Q1621292) (← links)
• Parsimonious skew mixture models for model-based clustering and classification (Q1621294) (← links)
• Mixtures of skew-\(t\) factor analyzers (Q1623604) (← links)
• Clustering and classification via cluster-weighted factor analyzers (Q1947045) (← links)
• Variational Bayes approximations for clustering via mixtures of normal inverse Gaussian distributions (Q2009044) (← links)
• Growth mixture modeling with measurement selection (Q2283309) (← links)
• Mixtures of multivariate contaminated normal regression models (Q2306894) (← links)
• The determination of uncertainty levels in robust clustering of subjects with longitudinal observations using the Dirichlet process mixture (Q2418281) (← links)
• Capturing patterns via parsimonious \(t\) mixture models (Q2453877) (← links)
• Clustering time series gene expression data based on sum-of-exponentials fitting (Q2570560) (← links)
• Model-based clustering (Q2628064) (← links)
• Robust Clustering Using Exponential Power Mixtures (Q3076037) (← links)
• A New Information Criterion Based on Langevin Mixture Distribution for Clustering Circular Data with Application to Time Course Genomic Data (Q3448719) (← links)
• Model‐based clustering of longitudinal data (Q3561489) (← links)
• Model-Based Clustering of Longitudinal Data: Application to Modeling Disease Course and Gene Expression Trajectories (Q4905896) (← links)
• Flexible mixture modelling with the polynomial Gaussian cluster-weighted model (Q4970990) (← links)
• Bayesian Finite Markov Mixture Model for Temporal Multi‐Tissue Polygenic Patterns (Q5123151) (← 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)
• A mixture of common skew-\(t\) factor analysers (Q6537778) (← links)
• Model-based clustering using a new multivariate skew distribution (Q6552947) (← links)
• Joint clustering multiple longitudinal features: a comparison of methods and software packages with practical guidance (Q6560555) (← links)