Deriving Ranges of Optimal Estimated Transcript Expression due to Nonidentifiability

Current expression quantification methods suffer from a fundamental but undercharacterized 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 unde...

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Detalles Bibliográficos
Autores principales: Zheng, Hongyu, Ma, Cong, Kingsford, Carl
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Mary Ann Liebert, Inc., publishers 2022
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8892959/
https://www.ncbi.nlm.nih.gov/pubmed/35041494
http://dx.doi.org/10.1089/cmb.2021.0444

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8892959/
https://www.ncbi.nlm.nih.gov/pubmed/35041494
http://dx.doi.org/10.1089/cmb.2021.0444

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