Robustly detecting differential expression in RNA sequencing data using observation weights

@inproceedings{Zhou2014RobustlyDD,
  title={Robustly detecting differential expression in RNA sequencing data using observation weights},
  author={Xiaobei Zhou and Helen Lindsay and Mark D. Robinson},
  booktitle={Nucleic acids research},
  year={2014}
}
A popular approach for comparing gene expression levels between (replicated) conditions of RNA sequencing data relies on counting reads that map to features of interest. Within such count-based methods, many flexible and advanced statistical approaches now exist and offer the ability to adjust for covariates (e.g. batch effects). Often, these methods include some sort of 'sharing of information' across features to improve inferences in small samples. It is important to achieve an appropriate… CONTINUE READING
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