Selection-Corrected Statistical Inference for Region Detection With High-Throughput Assays-Reference-Cited by-同舟云学术

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Selection-Corrected Statistical Inference for Region Detection With High-Throughput Assays

Published:2018-11-13 Issue:527 Volume:114 Page:1351-1365
ISSN:0162-1459
Container-title:Journal of the American Statistical Association
language:en
Short-container-title:Journal of the American Statistical Association

Author:

Benjamini Yuval¹,Taylor Jonathan²,Irizarry Rafael A.³⁴

Affiliation:

1. Department of Statistics, Hebrew University of Jerusalem, Jerusalem, Israel

2. Department of Statistics, Stanford University, Stanford, CA

3. Department of Biostatistics and Computational Biology, Dana Farber Cancer Institute, Boston, MA

4. Department of Biostatistics, Harvard University, Cambridge, MA

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2018.1498347

Reference51 articles.

1. Minfi: a flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays

2. Spontaneous epigenetic variation in the Arabidopsis thaliana methylome

3. Summarizing and correcting the GC content bias in high-throughput sequencing

4. False Discovery Rate–Adjusted Multiple Confidence Intervals for Selected Parameters

5. Valid post-selection inference

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1. Inverse set estimation and inversion of simultaneous confidence intervals;Journal of the Royal Statistical Society Series C: Applied Statistics;2024-05-31

2. On Selecting and Conditioning in Multiple Testing and Selective Inference;Biometrika;2023-12-22

3. dStruct: identifying differentially reactive regions from RNA structurome profiling data;Genome Biology;2019-02-21

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