Pages that link to "Item:Q77768"

The following pages link to Statistical Applications in Genetics and Molecular Biology (Q77768):

Displaying 50 items.

• Informative or noninformative calls for gene expression: a latent variable approach (Q2254429) (← links)
• Optimisation of HMM topologies enhances DNA and protein sequence modelling (Q2254432) (← links)
• The apportionment of total genetic variation by categorical analysis of variance (Q2254434) (← links)
• Network enrichment analysis in complex experiments (Q2254435) (← links)
• Sparse partial least squares classification for high dimensional data (Q2254437) (← links)
• Dealing with heterogeneity between cohorts in genomewide SNP association studies (Q2254439) (← links)
• Shrinkage estimation of effect sizes as an alternative to hypothesis testing followed by estimation in high-dimensional biology: applications to differential gene expression (Q2254441) (← links)
• Parameter estimation in multiple-hidden i.i.d. models from biological multiple alignment (Q2254442) (← links)
• An empirical Bayesian method for estimating biological networks from temporal microarray data (Q2254443) (← links)
• Weighted-LASSO for structured network inference from time course data (Q2254444) (← links)
• Asymptotic distribution of the ``orthogonal'' quantitative transmission disequilibrium test in a structured population: exact formula (Q2254446) (← links)
• Sub-modular resolution analysis by network mixture models (Q2254449) (← links)
• An alternative model of type A dependence in a gene set of correlated genes (Q2254451) (← links)
• Trilocus disequilibrium analysis of multiallelic markers in outcrossing populations (Q2254452) (← links)
• A random coefficients model for regional co-expression associated with DNA copy number (Q2254453) (← links)
• Spatial clustering of array CGH features in combination with hierarchical multiple testing (Q2254454) (← links)
• Space oriented rank-based data integration (Q2254455) (← links)
• Lasso logistic regression, GSoft and the cyclic coordinate descent algorithm: application to gene expression data (Q2254457) (← links)
• The generalized odds ratio as a measure of genetic risk effect in the analysis and meta-analysis of association studies (Q2254458) (← links)
• Confidently estimating the number of DNA replication origins (Q2254459) (← links)
• Locating multiple interacting quantitative trait loci with the zero-inflated generalized Poisson regression (Q2254460) (← links)
• Buckley-James boosting for survival analysis with high-dimensional biomarker data (Q2254461) (← links)
• Regression-based multi-trait QTL mapping using a structural equation model (Q2254469) (← links)
• Granger causality analysis of human cell-cycle gene expression profiles (Q2254471) (← links)
• Assessment of LD matrix measures for the analysis of biological pathway association (Q2254475) (← links)
• Classification of genomic sequences via wavelet variance and a self-organizing map with an application to mitochondrial DNA (Q2254476) (← links)
• On optimal selection of summary statistics for approximate Bayesian computation (Q2254477) (← links)
• Mapping quantitative trait loci in a non-equilibrium population (Q2254478) (← links)
• On the optimal design of genetic variant discovery studies (Q2254479) (← links)
• Permutation \(p\)-values should never be zero: calculating exact \(p\)-values when permutations are randomly drawn (Q2254480) (← links)
• Optimal tests shrinking both means and variances applicable to microarray data analysis (Q2254481) (← links)
• The detection of blur in Affymetrix GeneChips (Q2254483) (← links)
• Including probe-level measurement error in robust mixture clustering of replicated microarray gene expression (Q2254484) (← links)
• Predicting patient survival from longitudinal gene expression (Q2254485) (← links)
• A region-based multiple testing method for hypotheses ordered in space or time (Q2258442) (← links)
• A hidden Markov-model for gene mapping based on whole-genome next generation sequencing data (Q2258444) (← links)
• Bayesian mixed-effects model for the analysis of a series of FRAP images (Q2258448) (← links)
• A Bayesian mixture model for chromatin interaction data (Q2258449) (← links)
• Inference for one-step beneficial mutations using next generation sequencing (Q2258450) (← links)
• Regularization method for predicting an ordinal response using longitudinal high-dimensional genomic data (Q2258452) (← links)
• Assessing genome-wide significance for the detection of differentially methylated regions (Q2324944) (← links)
• A test for detecting differential indirect trans effects between two groups of samples (Q2324946) (← links)
• A variable selection approach in the multivariate linear model: an application to LC-MS metabolomics data (Q2324950) (← links)
• A practical approach to adjusting for population stratification in genome-wide association studies: principal components and propensity scores (PCAPS) (Q2324956) (← links)
• A novel method to accurately calculate statistical significance of local similarity analysis for high-throughput time series (Q2324958) (← links)
• False discovery control for penalized variable selections with high-dimensional covariates (Q2324959) (← links)
• Meta-analytic framework for modeling genetic coexpression dynamics (Q2324963) (← links)
• Sample size calculations for the differential expression analysis of RNA-seq data using a negative binomial regression model (Q2324965) (← links)
• Sliced inverse regression for integrative multi-omics data analysis (Q2324966) (← links)
• \texttt{MLML2R}: an R package for maximum likelihood estimation of DNA methylation and hydroxymethylation proportions (Q2324967) (← links)