References in zbMATH (referenced in 13 articles )

Showing results 1 to 13 of 13.
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  1. Lithio, Andrew; Nettleton, Dan: Hierarchical modeling and differential expression analysis for RNA-seq experiments with inbred and hybrid genotypes (2015)
  2. Liu, Fangfang; Wang, Chong; Liu, Peng: A semi-parametric Bayesian approach for differential expression analysis of RNA-seq data (2015)
  3. Nguyen, Yet; Nettleton, Dan; Liu, Haibo; Tuggle, Christopher K.: Detecting differentially expressed genes with RNA-seq data using backward selection to account for the effects of relevant covariates (2015)
  4. Datta, Somnath (ed.); Nettleton, Dan (ed.): Statistical analysis of next generation sequencing data (2014)
  5. Ji, Tieming; Liu, Peng; Nettleton, Dan: Estimation and testing of gene expression heterosis (2014)
  6. Sun, Zhaonan; Kuczek, Thomas; Zhu, Yu: Statistical calibration of qRT-PCR, microarray and RNA-Seq gene expression data with measurement error models (2014)
  7. Klawonn, Frank: Significance tests to identify regulated proteins based on a large number of small samples (2012)
  8. Lund, Steven P.; Nettleton, Dan; McCarthy, Davis J.; Smyth, Gordon K.: Detecting differential expression in RNA-sequence data using quasi-likelihood with shrunken dispersion estimates (2012)
  9. Siri, Paola; Henninger, Eric; Sormani, Maria Pia: A parametric model fitting time to first event for overdispersed data: application to time to relapse in multiple sclerosis (2012)
  10. Auer, Paul L.; Doerge, Rebecca W.: A two-stage Poisson model for testing RNA-Seq data (2011)
  11. Di, Yanming; Schafer, Daniel W.; Cumbie, Jason S.; Chang, Jeff H.: The NBP negative binomial model for assessing differential gene expression from RNA-Seq (2011)
  12. Love, Michael I.; Myšičková, Alena; Sun, Ruping; Kalscheuer, Vera; Vingron, Martin; Haas, Stefan A.: Modeling read counts for CNV detection in exome sequencing data (2011)
  13. Witten, Daniela M.: Classification and clustering of sequencing data using a Poisson model (2011)