The following pages link to BioHMM (Q22872):
Displaying 10 items.
- A decision-theoretic approach for segmental classification (Q386773) (← links)
- Modeling read counts for CNV detection in exome sequencing data (Q458185) (← links)
- Fast estimation of posterior probabilities in change-point analysis through a constrained hidden Markov model (Q1615137) (← links)
- Sparse latent factor models with interactions: analysis of gene expression data (Q2443144) (← links)
- A hierarchical Bayesian model for inference of copy number variants and their association to gene expression (Q2453661) (← links)
- Segmentation and Estimation for SNP Microarrays: A Bayesian Multiple Change-Point Approach (Q3064251) (← links)
- A continuous-index hidden Markov jump process for modeling DNA copy number data (Q3305000) (← links)
- A shifting level model algorithm that identifies aberrations in array-CGH data (Q3305020) (← links)
- A Bayesian HMM with random effects and an unknown number of states for DNA copy number analysis (Q4922611) (← links)
- A Latent Class Model with Hidden Markov Dependence for Array CGH Data (Q5850980) (← links)
