The following pages link to PennCNV (Q31217):
Displaying 13 items.
- On the accuracy of the MAP inference in HMMs (Q340107) (← links)
- Leveraging local identity-by-descent increases the power of case/control GWAS with related individuals (Q400639) (← links)
- Reconstructing DNA copy number by penalized estimation and imputation (Q542936) (← links)
- Detecting simultaneous variant intervals in aligned sequences (Q641121) (← links)
- The screening and ranking algorithm to detect DNA copy number variations (Q714382) (← links)
- Using GWAS data to identify copy number variants contributing to common complex diseases (Q908135) (← links)
- Fast estimation of posterior probabilities in change-point analysis through a constrained hidden Markov model (Q1615137) (← links)
- A hierarchical Bayesian model for inference of copy number variants and their association to gene expression (Q2453661) (← links)
- iBATCGH: Integrative Bayesian Analysis of Transcriptomic and CGH Data (Q2956744) (← links)
- A Coarse-to-Fine Approach to Computing the k-Best Viterbi Paths (Q3011869) (← links)
- Segmentation and Estimation for SNP Microarrays: A Bayesian Multiple Change-Point Approach (Q3064251) (← links)
- PICNIC: an algorithm to predict absolute allelic copy number variation with microarray cancer data (Q3303594) (← links)
- Semiparametric hidden Markov model with non-parametric regression (Q5075553) (← links)
