• Corpus ID: 17919140

Fast Approximate Inference of Transcript Expression Levels from RNA-seq Data

@article{Hensman2013FastAI,
  title={Fast Approximate Inference of Transcript Expression Levels from RNA-seq Data},
  author={James Hensman and Peter Glaus and Antti Honkela and Magnus Rattray},
  journal={arXiv: Genomics},
  year={2013}
}
Motivation: The mapping of RNA-seq reads to their transcripts of origin is a fundamental task in transcript expression estimation and dierential expression scoring. Where ambiguities in mapping exist due to transcripts sharing sequence, e.g. alternative isoforms or alleles, the problem becomes an instance of non-trivial probabilistic inference. Bayesian inference in such a problem is intractable and approximate methods must be used such as Markov chain Monte Carlo (MCMC) and Variational Bayes… 
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