The review covers selective inference techniques that provide conditional guarantees for inference after data-dependent selection, demonstrated with examples from winner inference, regression trees, clustering, and single-cell RNA sequencing.
null” model that has no biological variability. On the positive control dataset, we retain the 1000 genes that deviate most from this “null
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Inference conditional on selection: a review
The review covers selective inference techniques that provide conditional guarantees for inference after data-dependent selection, demonstrated with examples from winner inference, regression trees, clustering, and single-cell RNA sequencing.