Pages that link to "Item:Q5701280"
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The following pages link to Detecting differential gene expression with a semiparametric hierarchical mixture method (Q5701280):
Displaying 50 items.
- A mixture modeling framework for differential analysis of high-throughput data (Q2262632) (← links)
- Unsupervised empirical Bayesian multiple testing with external covariates (Q2271346) (← links)
- A mixture factor model with applications to microarray data (Q2273145) (← links)
- Bayesian indicator variable selection to incorporate hierarchical overlapping group structure in multi-omics applications (Q2291545) (← links)
- A graphical model method for integrating multiple sources of genome-scale data (Q2344245) (← links)
- Hierarchical Bayes variable selection and microarray experiments (Q2370539) (← links)
- A Bayesian measurement error model for two-channel cell-based RNAi data with replicates (Q2428757) (← links)
- A hierarchical Bayesian model for inference of copy number variants and their association to gene expression (Q2453661) (← links)
- Size, power and false discovery rates (Q2456004) (← links)
- A statistical analysis of memory CD8 T cell differentiation: An application of a hierarchical state space model to a short time course microarray experiment (Q2466472) (← links)
- Hadamard matrix methods in identifying differentially expressed genes from microarray experi\-ments (Q2474404) (← links)
- A new class of mixture models for differential gene expression in DNA microarray data (Q2475726) (← links)
- A statistical framework for testing functional categories in microarray data (Q2482980) (← links)
- Covariate-adjusted multiple testing in genome-wide association studies via factorial hidden Markov models (Q2666069) (← links)
- Supporting informationa robust method for large-scale multiple hypotheses testing (Q2786167) (← links)
- Modeling overdispersion heterogeneity in differential expression analysis using mixtures (Q2827191) (← links)
- An Integrative Bayesian Modeling Approach to Imaging Genetics (Q2861801) (← links)
- A decision-theory approach to interpretable set analysis for high-dimensional data (Q2861947) (← links)
- Fully Bayesian mixture model for differential gene expression: simulations and model checks (Q2863944) (← links)
- Semi-parametric differential expression analysis via partial mixture estimation (Q2863964) (← links)
- Statistics of mixtures with varying concentrations with application to DNA microarray data analysis (Q2892923) (← links)
- Estimating effect sizes of differentially expressed genes for power and sample-size assessments in microarray experiments (Q2893379) (← links)
- Large-scale multiple testing under dependence (Q2920274) (← links)
- A general framework for multiple testing dependence (Q2962172) (← links)
- Bayesian Modeling of ChIP-chip Data Through a High-Order Ising Model (Q3076069) (← links)
- Improved Detection of Differentially Expressed Genes Through Incorporation of Gene Locations (Q3183221) (← links)
- Multiple testing on standardized mortality ratios: a Bayesian hierarchical model for FDR estimation (Q3303649) (← links)
- Estimation and selection in high-dimensional genomic studies for developing molecular diagnostics (Q3303664) (← links)
- Bayesian ranking and selection methods using hierarchical mixture models in microarray studies (Q3305021) (← links)
- Nonparametric analysis of replicated microarray experiments (Q3429981) (← links)
- A Laplace mixture model for identification of differential expression in microarray experiments (Q3434176) (← links)
- Computational Biology: Toward Deciphering Gene Regulatory Information in Mammalian Genomes (Q3436500) (← links)
- Modeling Microarray Data Using a Threshold Mixture Model (Q3442966) (← links)
- An Enhanced Quantile Approach for Assessing Differential Gene Expressions (Q3506489) (← links)
- A Flexible and Powerful Bayesian Hierarchical Model for ChIP-Chip Experiments (Q3506496) (← links)
- Bayesian Analysis of Mass Spectrometry Proteomic Data Using Wavelet-Based Functional Mixed Models (Q3506497) (← links)
- A Time‐Series DDP for Functional Proteomics Profiles (Q4649065) (← links)
- A Bayesian Approach for Estimating Dynamic Functional Network Connectivity in fMRI Data (Q4690935) (← links)
- Semiparametric Bayesian Inference for Phage Display Data (Q4919582) (← links)
- Bayesian decision theoretic multiple comparison procedures: An application to phage display data (Q4921962) (← links)
- Exploiting blank spots for model-based background correction in discovering genes with DNA array data (Q4970597) (← links)
- Generalized Species Sampling Priors With Latent Beta Reinforcements (Q4975618) (← links)
- A Bayesian extension of the hypergeometric test for functional enrichment analysis (Q4979230) (← links)
- Bayesian Structure Learning in Multilayered Genomic Networks (Q4999136) (← links)
- A semi-parametric Bayesian approach for detection of gene expression heterosis with RNA-seq data (Q5058236) (← links)
- Sequential tests of multiple hypotheses controlling false discovery and nondiscovery rates (Q5113795) (← links)
- Detection of differentially expressed genes in discrete single‐cell RNA sequencing data using a hurdle model with correlated random effects (Q5121015) (← links)
- Hierarchical Bayesian meta-analysis models for cross-platform microarray studies (Q5123403) (← links)
- Bayesian hidden Markov models to identify RNA–protein interaction sites in PAR‐CLIP (Q5170214) (← links)
- Spatially Dependent Multiple Testing Under Model Misspecification, With Application to Detection of Anthropogenic Influence on Extreme Climate Events (Q5229893) (← links)
