The following pages link to Dan Nettleton (Q137971):
Displaying 40 items.
- Detecting differential expression in RNA-sequence data using quasi-likelihood with shrunken dispersion estimates (Q100304) (← links)
- Random Forest Prediction Intervals (Q137973) (← links)
- (Q440260) (redirect page) (← links)
- Variance model selection with application to joint analysis of multiple microarray datasets under false discovery rate control (Q440263) (← links)
- Borrowing information across genes and experiments for improved error variance estimation in microarray data analysis (Q458842) (← links)
- (Q484706) (redirect page) (← links)
- Estimating the number of genes that are differentially expressed in both of two independent experiments (Q484707) (← links)
- Estimation and testing of gene expression heterosis (Q489924) (← links)
- Accounting for spot matching uncertainty in the analysis of proteomics data from two-dimensional gel electrophoresis (Q641803) (← links)
- The importance of distinct modeling strategies for gene and gene-specific treatment effects in hierarchical models for microarray data (Q714369) (← 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)
- Empirical Bayes analysis of RNA-seq data for detection of gene expression heterosis (Q906083) (← links)
- Identifying differentially expressed genes in unreplicated multiple-treatment microarray timecourse experiments (Q959180) (← links)
- Predictor augmentation in random forests (Q1748864) (← links)
- Detecting rare and faint signals via thresholding maximum likelihood estimators (Q1750291) (← links)
- Testing for ordered means in a variation of the normal mixture model (Q1866193) (← links)
- A residual-based approach for robust random forest regression (Q2073541) (← links)
- Adjusting for spatial effects in genomic prediction (Q2084394) (← links)
- Variable importance assessments and backward variable selection for multi-sample problems (Q2237823) (← links)
- Sparse model identification and learning for ultra-high-dimensional additive partially linear models (Q2274941) (← links)
- Linear Mixed Model Selection for False Discovery Rate Control in Microarray Data Analysis (Q3576944) (← links)
- Order-restricted hypothesis testing in a variation of the normal mixture model (Q4267417) (← links)
- Adaptive and Dynamic Adaptive Procedures for False Discovery Rate Control and Estimation (Q4632669) (← links)
- Interval Mapping of Quantitative Trait Loci through Order-Restricted Inference (Q4665942) (← links)
- Accounting for Variability in the Use of Permutation Testing to Detect Quantitative Trait Loci (Q4668372) (← links)
- Multiple Marginal Independence Testing for Pick Any/C Variables (Q4787650) (← links)
- A Hierarchical Semiparametric Model for Incorporating Intergene Information for Analysis of Genomic Data (Q4911942) (← links)
- Improved Estimation of the Noncentrality Parameter Distribution from a Large Number of <i>t</i>‐Statistics, with Applications to False Discovery Rate Estimation in Microarray Data Analysis (Q4911943) (← links)
- Estimation of False Discovery Rate Using Sequential Permutation <i>p</i>‐Values (Q4919552) (← links)
- Convergence properties of the EM algorithm in constrained parameter spaces (Q4944651) (← links)
- Nested Hierarchical Functional Data Modeling and Inference for the Analysis of Functional Plant Phenotypes (Q4962426) (← links)
- Tree aggregation for random forest class probability estimation (Q4970316) (← links)
- Testing for the Supremacy of a Multinomial Cell Probability (Q5254725) (← links)
- A Hidden Markov Model Approach to Testing Multiple Hypotheses on a Tree-Transformed Gene Ontology Graph (Q5255685) (← links)
- Exploring the Information in <i>p</i>‐Values for the Analysis and Planning of Multiple‐Test Experiments (Q5459592) (← links)
- Random Forest Prediction Intervals (Q5869307) (← links)
- Testing the equality of distributions of random vectors with categorical components. (Q5941549) (← links)
- Fusion learning of functional linear regression with application to genotype-by-environment interaction studies (Q6050916) (← links)
- Additive partially linear models for ultra-high-dimensional regression (Q6541498) (← links)
