Pages that link to "Item:Q3434196"

The following pages link to Hidden Markov Models for Microarray Time Course Data in Multiple Biological Conditions (Q3434196):

Displaying 26 items.

• A Bayesian autoregressive three-state hidden Markov model for identifying switching monotonic regimes in microarray time course data (Q461635) (← links)
• Gamma-based clustering via ordered means with application to gene-expression analysis (Q620546) (← links)
• The importance of distinct modeling strategies for gene and gene-specific treatment effects in hierarchical models for microarray data (Q714369) (← links)
• A multivariate empirical Bayes statistic for replicated microarray time course data (Q869977) (← links)
• Flexible temporal expression profile modelling using the Gaussian process (Q1010526) (← links)
• Strong law of large numbers for hidden Markov chains indexed by Cayley trees (Q1952683) (← links)
• Strong law of large numbers for hidden Markov chains indexed by an infinite tree with uniformly bounded degrees (Q2019191) (← links)
• Local false discovery rate based methods for multiple testing of one-way classified hypotheses (Q2106790) (← links)
• Dynamical modeling for non-Gaussian data with high-dimensional sparse ordinary differential equations (Q2143016) (← links)
• An empirical Bayes change-point model for transcriptome time-course data (Q2233191) (← links)
• Regularization method for predicting an ordinal response using longitudinal high-dimensional genomic data (Q2258452) (← links)
• A Markov random field-based approach to characterizing human brain development using spatial-temporal transcriptome data (Q2349587) (← links)
• High dimensional extension of the growth curve model and its application in genetics (Q2404625) (← links)
• A statistical analysis of memory CD8 T cell differentiation: An application of a hierarchical state space model to a short time course microarray experiment (Q2466472) (← links)
• Distributions associated with general runs and patterns in hidden Markov models (Q2466479) (← links)
• A hidden spatial-temporal Markov random field model for network-based analysis of time course gene expression data (Q2482987) (← links)
• A temporal hidden Markov regression model for the analysis of gene regulatory networks (Q2839001) (← links)
• Identifying temporally differentially expressed genes through functional principal components analysis (Q3304985) (← links)
• On Gene Ranking Using Replicated Microarray Time Course Data (Q3623738) (← links)
• Partially Hidden Markov Model for Time-Varying Principal Stratification in HIV Prevention Trials (Q4916438) (← links)
• Time-course data prediction for repeatedly measured gene expression (Q4966922) (← links)
• Multiple Testing for Pattern Identification, With Applications to Microarray Time-Course Experiments (Q5256401) (← links)
• Hidden Markov Models With Applications in Cell Adhesion Experiments (Q5406373) (← links)
• Bayesian Hierarchical Modeling for Time Course Microarray Experiments (Q5459595) (← links)
• (Q5471636) (← links)
• Bayesian modeling of factorial time-course data with applications to a bone aging gene expression study (Q5861482) (← links)