The following pages link to (Q4532845):
Displaying 50 items.
- sma (Q51848) (← links)
- ExactDAS: an exact test procedure for the detection of differential alternative splicing in microarray experiments (Q461656) (← links)
- Estimating the number of genes that are differentially expressed in both of two independent experiments (Q484707) (← links)
- A look at multiplicity through misclassification (Q505999) (← links)
- Joint adaptive mean-variance regularization and variance stabilization of high dimensional data (Q693237) (← links)
- MAOSA: A new procedure for detection of differential gene expression (Q713679) (← links)
- Selecting features in microarray classification using roc curves (Q850144) (← links)
- A multivariate empirical Bayes statistic for replicated microarray time course data (Q869977) (← links)
- On the identification of differentially expressed genes: Improving the generalized F-statistics for Affymetrix microarray gene expression data (Q883812) (← links)
- Segmenting microarray images using a contour-based method (Q896716) (← links)
- Testing multivariate economic restrictions using quantiles: the example of Slutsky negative semidefiniteness (Q898590) (← links)
- Transformations, background estimation, and process effects in the statistical analysis of microarrays (Q956764) (← links)
- Identifying differentially expressed genes in unreplicated multiple-treatment microarray timecourse experiments (Q959180) (← links)
- A two-stage empirical Bayes method for identifying differentially expressed genes (Q959437) (← links)
- A permutation test motivated by microarray data analysis (Q959444) (← links)
- Balancing type one and two errors in multiple testing for differential expression of genes (Q961320) (← links)
- A robust unified approach to analyzing methylation and gene expression data (Q961331) (← links)
- Exploration of distributional models for a novel intensity-dependent normalization procedure in censored gene expression data (Q961384) (← links)
- Identification of differentially expressed spatial clusters using humoral response microarray data (Q961752) (← links)
- A flexible approximate likelihood ratio test for detecting differential expression in microarray data (Q961838) (← links)
- Gaga: a parsimonious and flexible model for differential expression analysis (Q985021) (← links)
- Extracting gene regulation information for cancer classification (Q996416) (← links)
- Identifying differentially expressed genes in dye-swapped microarray experiments of small sample size (Q1019888) (← links)
- Class prediction and gene selection for DNA microarrays using regularized sliced inverse regression (Q1020831) (← links)
- New normalization methods using support vector machine quantile regression approach in microarray analysis (Q1023756) (← links)
- An iterative procedure for differential analysis of gene expression. (Q1409734) (← links)
- Expression profiles in the progression of ductal carcinoma in the breast (Q1414284) (← links)
- Resampling-based multiple testing for microarray data analysis (With comments) (Q1423855) (← links)
- Statistical challenges in functional genomics. (With comments and a rejoinder). (Q1431220) (← links)
- Multiple hypothesis testing in microarray experiments. (Q1431222) (← links)
- Thresholding rules for recovering a sparse signal from microarray experiments (Q1602575) (← links)
- A systematic statistical linear modeling approach to oligonucleotide array experiments (Q1602579) (← links)
- Multivariate approach for selecting sets of differentially expressed genes (Q1602586) (← links)
- A statistical method for measuring activation of gene regulatory networks (Q1672821) (← links)
- Intensity-dependent normalization in microarray analysis: a note of concern (Q1763093) (← links)
- Sequential prediction bounds for identifying differentially expressed genes in replicated microarray experiments (Q1765642) (← links)
- Optimal feature selection for sparse linear discriminant analysis and its applications in gene expression data (Q1800123) (← links)
- Determining and analyzing differentially expressed genes from cDNA microarray experiments with complementary designs (Q1876972) (← links)
- Analyzing factorial designed microarray experiments (Q1876978) (← links)
- A perceptually optimised bivariate visualisation scheme for high-dimensional fold-change data (Q2036175) (← links)
- Sparse matrix linear models for structured high-throughput data (Q2135347) (← links)
- Signaling perturbations induced by invading \textit{H. pylori} proteins in the host epithelial cells: a mathematical modeling approach (Q2211567) (← links)
- Simultaneous confidence intervals for differential gene expressions (Q2369507) (← links)
- Multi-group cancer outlier differential gene expression detection (Q2373283) (← links)
- Statistical analysis of the Shapley value for microarray games (Q2379649) (← links)
- Improving the power to detect differentially expressed genes in comparative microarray experiments by including information from self-self hybridizations (Q2459090) (← links)
- A statistical framework for the analysis of microarray probe-level data (Q2466466) (← 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)
- An optimal choice of window width for LOWESS normalization of microarray data (Q2481575) (← links)
