Pages that link to "Item:Q1431220"
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The following pages link to Statistical challenges in functional genomics. (With comments and a rejoinder). (Q1431220):
Displaying 13 items.
- The Bayesian method for causal discovery of latent-variable models from a mixture of experimental and observational data (Q693221) (← links)
- A quantitative approach for polymerase chain reactions based on a hidden Markov model (Q843317) (← links)
- Towards scalable and data efficient learning of Markov boundaries (Q997045) (← links)
- On tests of independence based on minimum \(\varphi \)-divergence estimator with constraints: An application to modeling DNA (Q1010450) (← links)
- A mathematical program to refine gene regulatory networks (Q1026217) (← links)
- A probabilistic framework for microarray data analysis: fundamental probability models and statistical inference (Q1716203) (← links)
- A new class of mixture models for differential gene expression in DNA microarray data (Q2475726) (← links)
- Burden of bioinformatics in medical research: statistical perspectives and controversies (Q2475731) (← links)
- A note on testing the covariance matrix for large dimension (Q2567187) (← links)
- An overview of recent developments in genomics and associated statistical methods (Q3559948) (← links)
- A review of modern multiple hypothesis testing, with particular attention to the false discovery proportion (Q3597112) (← links)
- Bayesian Hierarchical Modeling for Time Course Microarray Experiments (Q5459595) (← links)
- GOES-8 X-Ray Sensor Variance Stabilization Using the Multiscale Data-Driven Haar–Fisz Transform (Q5757862) (← links)
