The following pages link to DEseq (Q22305):
Displaying 50 items.
- Detecting differential expression in RNA-sequence data using quasi-likelihood with shrunken dispersion estimates (Q100304) (← links)
- On the estimation of mixtures of Poisson regression models with large number of components (Q109443) (← links)
- What if we ignore the random effects when analyzing RNA-seq data in a multifactor experiment (Q306675) (← links)
- A Markov random field-based approach for joint estimation of differentially expressed genes in mouse transcriptome data (Q306683) (← links)
- Shrinkage of dispersion parameters in the binomial family, with application to differential exon skipping (Q312910) (← links)
- Statistical calibration of qRT-PCR, microarray and RNA-Seq gene expression data with measurement error models (Q400646) (← links)
- Modeling read counts for CNV detection in exome sequencing data (Q458185) (← links)
- The NBP negative binomial model for assessing differential gene expression from RNA-Seq (Q458211) (← links)
- A two-stage Poisson model for testing RNA-Seq data (Q458254) (← links)
- \(p\)-value calibration for multiple testing problems in genomics (Q482816) (← links)
- Estimation and testing of gene expression heterosis (Q489924) (← links)
- Beyond support in two-stage variable selection (Q517395) (← links)
- A simulation framework for correlated count data of features subsets in high-throughput sequencing or proteomics experiments (Q521444) (← links)
- Sample size calculation based on generalized linear models for differential expression analysis in RNA-seq data (Q523926) (← links)
- Controlling the false-discovery rate by procedures adapted to the length bias of RNA-seq (Q684055) (← links)
- A parametric model fitting time to first event for overdispersed data: application to time to relapse in multiple sclerosis (Q746130) (← links)
- Classification and clustering of sequencing data using a Poisson model (Q765993) (← links)
- A semi-parametric Bayesian approach for differential expression analysis of RNA-seq data (Q906075) (← links)
- Detecting differentially expressed genes with RNA-seq data using backward selection to account for the effects of relevant covariates (Q906078) (← links)
- Hierarchical modeling and differential expression analysis for RNA-seq experiments with inbred and hybrid genotypes (Q906080) (← links)
- MATHT: a web server for comprehensive transcriptome data analysis (Q1714286) (← links)
- On computing maximum likelihood estimates for the negative binomial distribution (Q1726917) (← links)
- \(e\)PCA: high dimensional exponential family PCA (Q1728639) (← links)
- Detecting rare and faint signals via thresholding maximum likelihood estimators (Q1750291) (← links)
- A bioequivalence test by the direct comparison of concentration-versus-time curves using local polynomial smoothers (Q2013948) (← links)
- Network modeling in biology: statistical methods for gene and brain networks (Q2038287) (← links)
- Fully Bayesian analysis of allele-specific RNA-seq data (Q2045566) (← links)
- Development of a tissue augmented Bayesian model for expression quantitative trait loci analysis (Q2045662) (← links)
- A statistical perspective on the challenges in molecular microbial biology (Q2084409) (← links)
- Poisson mean vector estimation with nonparametric maximum likelihood estimation and application to protein domain data (Q2161181) (← links)
- Bayesian mixed effects models for zero-inflated compositions in microbiome data analysis (Q2179984) (← links)
- Identifying atypically expressed chromosome regions using RNA-Seq data (Q2220294) (← links)
- Model-based feature selection and clustering of RNA-seq data for unsupervised subtype discovery (Q2233190) (← links)
- Inference of large modified Poisson-type graphical models: application to RNA-seq data in childhood atopic asthma studies (Q2245161) (← links)
- A compositional model to assess expression changes from single-cell RNA-seq data (Q2245165) (← links)
- Statistical analysis of next generation sequencing data (Q2250275) (← links)
- A Bayesian mixture model for chromatin interaction data (Q2258449) (← links)
- Two-sample test for sparse high-dimensional multinomial distributions (Q2273180) (← links)
- Sample size calculations for the differential expression analysis of RNA-seq data using a negative binomial regression model (Q2324965) (← links)
- No counts, no variance: allowing for loss of degrees of freedom when assessing biological variability from RNA-seq data (Q2406178) (← links)
- Some approximation results for Bayesian posteriors that involve the Hurwitz-Lerch zeta distribution (Q2693834) (← links)
- Estimation of sparse directed acyclic graphs for multivariate counts data (Q2827189) (← links)
- Modeling overdispersion heterogeneity in differential expression analysis using mixtures (Q2827191) (← links)
- An optimal test with maximum average power while controlling FDR with application to RNA-seq data (Q2861943) (← links)
- (Q3165671) (← links)
- Interactive Visualization of Hierarchically Structured Data (Q3391087) (← links)
- Non parametric Bayesian analysis of the two-sample problem with censoring (Q4606447) (← links)
- BNP-Seq: Bayesian Nonparametric Differential Expression Analysis of Sequencing Count Data (Q4690929) (← links)
- (Q4998948) (← links)
- A semi-parametric Bayesian approach for detection of gene expression heterosis with RNA-seq data (Q5058236) (← links)
