This project has a Band 1 fee. Details of our different fee bands can be found on our website. For information on how to apply for this project, please visit the Faculty of Biology, Medicine and Health Doctoral Academy website. Informal enquiries may be made directly to the primary supervisor.
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Hensman, James, et al. "Fast and accurate approximate inference of transcript expression from RNA-seq data." arXiv preprint arXiv:1412.5995 (2014).
Papastamoulis, Panagiotis, et al. "Improved variational Bayes inference for transcript expression estimation." Statistical applications in genetics and molecular biology 13.2 (2014): 203-216.
SEQC/MAQC-III Consortium. "A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium." Nature Biotechnology 32.9 (2014): 903-914.