Fast and accurate approximate inference of transcript expression from RNA-seq data

@article{Hensman2014FastAA,
  title={Fast and accurate approximate inference of transcript expression from RNA-seq data},
  author={James Hensman and Panagiotis Papastamoulis and Peter Glaus and Antti Honkela and Magnus Rattray},
  journal={Bioinformatics},
  year={2014},
  volume={31},
  pages={3881 - 3889}
}
Motivation: Assigning RNA-seq reads to their transcript of origin is a fundamental task in transcript expression estimation. Where ambiguities in assignments exist due to transcripts sharing sequence, e.g. alternative isoforms or alleles, the problem can be solved through probabilistic inference. Bayesian methods have been shown to provide accurate transcript abundance estimates compared with competing methods. However, exact Bayesian inference is intractable and approximate methods such as… 
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