Pages that link to "Item:Q2839001"
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The following pages link to A temporal hidden Markov regression model for the analysis of gene regulatory networks (Q2839001):
Displaying 16 items.
- Bayesian state space models for dynamic genetic network construction across multiple tissues (Q309414) (← links)
- A Bayesian autoregressive three-state hidden Markov model for identifying switching monotonic regimes in microarray time course data (Q461635) (← links)
- Coupling hidden Markov models for the discovery of Cis-regulatory modules in multiple species (Q995727) (← links)
- A statistical method for measuring activation of gene regulatory networks (Q1672821) (← links)
- Bayesian analysis of dynamic panel data by penalized quantile regression (Q1742844) (← links)
- Varying-coefficient hidden Markov models with zero-effect regions (Q2143013) (← links)
- Inferring gene regulatory networks from temporal expression profiles under time-delay and noise (Q2459117) (← links)
- An Integrative Bayesian Modeling Approach to Imaging Genetics (Q2861801) (← links)
- Mixed hidden Markov models for longitudinal data: an overview (Q2889638) (← links)
- Hidden Markov Models for Microarray Time Course Data in Multiple Biological Conditions (Q3434196) (← links)
- Sparse Additive Ordinary Differential Equations for Dynamic Gene Regulatory Network Modeling (Q4975410) (← links)
- TGCnA: temporal gene coexpression network analysis using a low-rank plus sparse framework (Q5037038) (← links)
- Bayesian Tobit quantile regression using<i>g</i>-prior distribution with ridge parameter (Q5220922) (← links)
- (Q5471636) (← links)
- Bayesian modeling of factorial time-course data with applications to a bone aging gene expression study (Q5861482) (← links)
- Bayesian scale mixtures of normals linear regression and Bayesian quantile regression with big data and variable selection (Q6169779) (← links)
