Approximating the Variance of the Conditional Probability of the State of a Hidden Markov Model

Articles in the same Issue

1. Article
2. Accounting for Dependence in Similarity Data from DNA Fingerprinting
3. Normalization of Dye Bias in Microarray Data Using the Mixture of Splines Model
4. A Generalized Sidak-Holm Procedure and Control of Generalized Error Rates under Independence
5. Using Duplicate Genotyped Data in Genetic Analyses: Testing Association and Estimating Error Rates
6. Likelihood-Based Inference for Multi-Color Optical Mapping
7. Sparse Logistic Regression with Lp Penalty for Biomarker Identification
8. Super Learning: An Application to the Prediction of HIV-1 Drug Resistance
9. Supervised Detection of Conserved Motifs in DNA Sequences with Cosmo
10. Accurate Ranking of Differentially Expressed Genes by a Distribution-Free Shrinkage Approach
11. Statistical Inference for Quantitative Polymerase Chain Reaction Using a Hidden Markov Model: A Bayesian Approach
12. A Bayesian Model of AFLP Marker Evolution and Phylogenetic Inference
13. Sequential Quantitative Trait Locus Mapping in Experimental Crosses
14. Case-Control Inference of Interaction between Genetic and Nongenetic Risk Factors under Assumptions on Their Distribution
15. Inference on the Limiting False Discovery Rate and the P-value Threshold Parameter Assuming Weak Dependence between Gene Expression Levels within Subject
16. Reconstructing Gene Regulatory Networks with Bayesian Networks by Combining Expression Data with Multiple Sources of Prior Knowledge
17. Cox Survival Analysis of Microarray Gene Expression Data Using Correlation Principal Component Regression
18. A Method for Meta-Analysis of Case-Control Genetic Association Studies Using Logistic Regression
19. Approximating the Variance of the Conditional Probability of the State of a Hidden Markov Model
20. Using Linear Mixed Models for Normalization of cDNA Microarrays
21. Experimental Design for Two-Color Microarrays Applied in a Pre-Existing Split-Plot Experiment
22. The Cyclohedron Test for Finding Periodic Genes in Time Course Expression Studies
23. H-Tuple Approach to Evaluate Statistical Significance of Biological Sequence Comparison with Gaps
24. Multiple Testing Issues in Discriminating Compound-Related Peaks and Chromatograms from High Frequency Noise, Spikes and Solvent-Based Noise in LC - MS Data Sets
25. A Bayesian Approach to Estimation and Testing in Time-course Microarray Experiments
26. Super Learner
27. Testing for Trends in Dose-Response Microarray Experiments: A Comparison of Several Testing Procedures, Multiplicity and Resampling-Based Inference
28. On the Operational Characteristics of the Benjamini and Hochberg False Discovery Rate Procedure
29. A Comparison of Methods to Control Type I Errors in Microarray Studies
30. Selection of Biologically Relevant Genes with a Wrapper Stochastic Algorithm
31. T-BAPS: A Bayesian Statistical Tool for Comparison of Microbial Communities Using Terminal-restriction Fragment Length Polymorphism (T-RFLP) Data
32. Population Structure and Covariate Analysis Based on Pairwise Microsatellite Allele Matching Frequencies
33. Estimating the Arm-Wise False Discovery Rate in Array Comparative Genomic Hybridization Experiments
34. An Expectation Maximization Approach to Estimate Malaria Haplotype Frequencies in Multiply Infected Children
35. Estimation of Expression Levels in Spotted Microarrays with Saturated Pixels
36. Improving Divergence Time Estimation in Phylogenetics: More Taxa vs. Longer Sequences
37. Fully Bayesian Mixture Model for Differential Gene Expression: Simulations and Model Checks
38. Multiple Testing for SNP-SNP Interactions