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Statistical Tests for Detecting Differential RNA-Transcript Expression from Read Counts

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Stegle,  O
Department Molecular Biology, Max Planck Institute for Developmental Biology, Max Planck Society;

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Borgwardt,  KM
Department Molecular Biology, Max Planck Institute for Developmental Biology, Max Planck Society;

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Citation

Drewe, P., Stegle, O., Bohnert, R., Borgwardt, K., & Rätsch, G. (2010). Statistical Tests for Detecting Differential RNA-Transcript Expression from Read Counts. Poster presented at 18th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB 2010), Boston, MA, USA.


Cite as: https://hdl.handle.net/21.11116/0000-000A-DA4C-C
Abstract
We present two novel statistical tests for differential abundances of RNA
transcripts: a 'gene structure sensitive' Poisson test when the transcript structure of a gene is
known, and a kernel-based test when it is unknown.
We show that both approaches perform better than testing for differential expression by first quantifying the transcript abundance.