Pages that link to "Item:Q5492093"
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The following pages link to Functional Hierarchical Models for Identifying Genes with Different Time‐Course Expression Profiles (Q5492093):
Displaying 15 items.
- A multivariate empirical Bayes statistic for replicated microarray time course data (Q869977) (← links)
- Multimodal probabilistic generative models for time-course gene expression data and Gene Ontology (GO) tags (Q897740) (← links)
- Bayesian models for two-sample time-course microarray experiments (Q961305) (← links)
- Optimal classification for time-course gene expression data using functional data analysis (Q1004958) (← links)
- Flexible temporal expression profile modelling using the Gaussian process (Q1010526) (← links)
- Gene hunting with forests for multigroup time course data (Q1017807) (← links)
- Classification of gene functions using support vector machine for time-course gene expression data (Q1023587) (← links)
- Detection of threshold points for gene expressions under multiple biological conditions (Q1748687) (← links)
- A Markov random field-based approach to characterizing human brain development using spatial-temporal transcriptome data (Q2349587) (← 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)
- A hidden spatial-temporal Markov random field model for network-based analysis of time course gene expression data (Q2482987) (← links)
- Differential Expression and Network Inferences through Functional Data Modeling (Q3183219) (← links)
- Identifying temporally differentially expressed genes through functional principal components analysis (Q3304985) (← links)
- On Gene Ranking Using Replicated Microarray Time Course Data (Q3623738) (← links)
- Multiple Testing for Pattern Identification, With Applications to Microarray Time-Course Experiments (Q5256401) (← links)
