Alternating EM algorithm for a bilinear model in isoform quantification from RNA-seq data

MOTIVATION: Estimation of isoform-level gene expression from RNA-seq data depends on simplifying assumptions, such as uniform read distribution, that are easily violated in real data. Such violations typically lead to biased estimates. Most existing methods provide bias correction step(s), which is...

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Detalles Bibliográficos
Autores principales: Deng, Wenjiang, Mou, Tian, Kalari, Krishna R, Niu, Nifang, Wang, Liewei, Pawitan, Yudi, Vu, Trung Nghia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9883676/
https://www.ncbi.nlm.nih.gov/pubmed/31400221
http://dx.doi.org/10.1093/bioinformatics/btz640

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9883676/
https://www.ncbi.nlm.nih.gov/pubmed/31400221
http://dx.doi.org/10.1093/bioinformatics/btz640

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