DRIMSeq: a Dirichlet-multinomial framework for multivariate count outcomes in genomics

@inproceedings{Nowicka2016DRIMSeqAD,
  title={DRIMSeq: a Dirichlet-multinomial framework for multivariate count outcomes in genomics},
  author={Malgorzata Nowicka and Mark D. Robinson and Robert Castelo and Alejandro J. Reyes and Mark Robinson},
  booktitle={F1000Research},
  year={2016}
}
There are many instances in genomics data analyses where measurements are made on a multivariate response. For example, alternative splicing can lead to multiple expressed isoforms from the same primary transcript. There are situations where differences (e.g. between normal and disease state) in the relative ratio of expressed isoforms may have significant phenotypic consequences or lead to prognostic capabilities. Similarly, knowledge of single nucleotide polymorphisms (SNPs) that affect… CONTINUE READING
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