Bayesian local false discovery rate for sparse count data with application to the discovery of hotspots in protein domains-Reference-Cited by-同舟云学术

Bayesian local false discovery rate for sparse count data with application to the discovery of hotspots in protein domains

Published:2022-09-01 Issue:3 Volume:16 Page:
ISSN:1932-6157
Container-title:The Annals of Applied Statistics
language:
Short-container-title:Ann. Appl. Stat.

Author:

Gauran Iris Ivy M.¹,Park Junyong²,Rattsev Ilia³,Peterson Thomas A.⁴,Kann Maricel G.³,Park DoHwan⁵

Affiliation:

1. Biostatistics Group, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology

2. Department of Statistics, Seoul National University

3. Department of Biological Sciences, University of Maryland

4. Institute for Computational Health Science, University of California, San Francisco

5. Department of Mathematics and Statistics, University of Maryland

Publisher

Institute of Mathematical Statistics

Subject

Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

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