Goodness-of-Fit Tests and Model Diagnostics for Negative Binomial Regression of RNA Sequencing Data
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Abstract
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DOI: 10.1371/journal.pone.0119254
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References listed on IDEAS
- Di Yanming & Schafer Daniel W & Cumbie Jason S & Chang Jeff H, 2011. "The NBP Negative Binomial Model for Assessing Differential Gene Expression from RNA-Seq," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 10(1), pages 1-28, May.
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Cited by:
- Xie, Fang & Xiao, Zhijie, 2020. "Consistency of ℓ1 penalized negative binomial regressions," Statistics & Probability Letters, Elsevier, vol. 165(C).
- Xiaohong Li & Guy N Brock & Eric C Rouchka & Nigel G F Cooper & Dongfeng Wu & Timothy E O’Toole & Ryan S Gill & Abdallah M Eteleeb & Liz O’Brien & Shesh N Rai, 2017. "A comparison of per sample global scaling and per gene normalization methods for differential expression analysis of RNA-seq data," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-22, May.
- Raydonal Ospina & Patrícia L. Espinheira & Leilo A. Arias & Cleber M. Xavier & Víctor Leiva & Cecilia Castro, 2024. "New Statistical Residuals for Regression Models in the Exponential Family: Characterization, Simulation, Computation, and Applications," Mathematics, MDPI, vol. 12(20), pages 1-44, October.
- Li Xiaohong & Wu Dongfeng & Cooper Nigel G.F. & Rai Shesh N., 2019. "Sample size calculations for the differential expression analysis of RNA-seq data using a negative binomial regression model," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 18(1), pages 1-17, February.
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