Article

Deriving Ranges of Optimal Estimated Transcript Expression Due to Non-identifiability

2019-12-13

Abstract excerpt

Current expression quantification methods suffer from a fundamental but under-characterized type of error: the most likely estimates for transcript abundances are not unique. This means multiple estimates of transcript abundances generate the observed RNA-seq reads with equal likelihood, and the underlying true expression cannot be determined. This problem is called non-identifiability for probabilistic models, an...

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Literature Corpus work: 06a49902-88c1-5ca7-a6ed-f7cf51cf90a8
DOI: 10.1101/2019.12.13.875625

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