Pages that link to "Item:Q5313583"
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The following pages link to Sample size calculation for multiple testing in microarray data analysis (Q5313583):
Displaying 15 items.
- Sample size calculation for controlling false discovery proportion (Q454792) (← links)
- Sample size growth with an increasing number of comparisons (Q454818) (← links)
- Sample size calculation based on generalized linear models for differential expression analysis in RNA-seq data (Q523926) (← links)
- Sample size calculation for a regularized \(t\)-statistic in microarray experiments (Q544658) (← links)
- Handling imbalance in hierarchical classification problems using local classifiers approaches (Q2036779) (← links)
- Machine learning-based receiver operating characteristic (ROC) curves for crisp and fuzzy classification of DNA microarrays in cancer research (Q2270373) (← links)
- Multiple testing with close to equally correlated structure (Q2321998) (← links)
- Sequential analysis for microarray data based on sensitivity and meta-analysis (Q2864034) (← links)
- Estimating effect sizes of differentially expressed genes for power and sample-size assessments in microarray experiments (Q2893379) (← links)
- Sample size calculations for designing clinical proteomic profiling studies using mass spectrometry (Q2921247) (← links)
- Sample size calculations for controlling the distribution of false discovery proportion in microarray experiments (Q3304990) (← links)
- Chebyshev’s Inequality for Nonparametric Testing with Small <i>N</i> and <i>α</i> in Microarray Research (Q3435793) (← links)
- The permutation testing approach: a review (Q5148506) (← links)
- Sample size determination in microarray experiments for class comparison and prognostic classification (Q5313571) (← links)
- Sample Size Calculations Based on Ranking and Selection in Microarray Experiments (Q5450482) (← links)
