Pages that link to "Item:Q5434903"
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The following pages link to A Segmentation/Clustering Model for the Analysis of Array CGH Data (Q5434903):
Displaying 18 items.
- Segmentation of the mean of heteroscedastic data via cross-validation (Q637994) (← links)
- Hidden Markov models approach to the analysis of array CGH data (Q1876991) (← links)
- Optimal weighting for false discovery rate control (Q1951998) (← links)
- Dynamic stochastic block models: parameter estimation and detection of changes in community structure (Q2329743) (← links)
- A hierarchical Bayesian model for inference of copy number variants and their association to gene expression (Q2453661) (← links)
- A comprehensive continuous-time model for the appearance of CGH signal due to chromosomal missegregations during mitosis (Q2573510) (← links)
- Piecewise regression mixture for simultaneous functional data clustering and optimal segmentation (Q2628065) (← links)
- Sequential model selection-based segmentation to detect DNA copy number variation (Q2827192) (← links)
- Segmentation and Estimation for SNP Microarrays: A Bayesian Multiple Change-Point Approach (Q3064251) (← links)
- Detecting Genomic Aberrations Using Products in a Multiscale Analysis (Q3064252) (← links)
- A shifting level model algorithm that identifies aberrations in array-CGH data (Q3305020) (← links)
- Subset Clustering of Binary Sequences, with an Application to Genomic Abnormality Data (Q3379257) (← links)
- Stochastic segmentation models for array-based comparative genomic hybridization data analysis (Q3526157) (← links)
- Weighted clustering of called array CGH data (Q3526177) (← links)
- The revisited knockoffs method for variable selection in <i>L</i><sub>1</sub>-penalized regressions (Q5042150) (← links)
- Identification of target clusters by using the restricted normal mixture model (Q5128984) (← links)
- Circular binary segmentation for the analysis of array-based DNA copy number data (Q5313526) (← links)
- A method for calling gains and losses in array CGH data (Q5313573) (← links)