Perplexity: evaluating transcript abundance estimation in the absence of ground truth

BACKGROUND: There has been rapid development of probabilistic models and inference methods for transcript abundance estimation from RNA-seq data. These models aim to accurately estimate transcript-level abundances, to account for different biases in the measurement process, and even to assess uncert...

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Detalles Bibliográficos
Autores principales: Fan, Jason, Chan, Skylar, Patro, Rob
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8951746/
https://www.ncbi.nlm.nih.gov/pubmed/35331283
http://dx.doi.org/10.1186/s13015-022-00214-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8951746/
https://www.ncbi.nlm.nih.gov/pubmed/35331283
http://dx.doi.org/10.1186/s13015-022-00214-y

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