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Improved data-driven likelihood factorizations for transcript abundance estimation
MOTIVATION: Many methods for transcript-level abundance estimation reduce the computational burden associated with the iterative algorithms they use by adopting an approximate factorization of the likelihood function they optimize. This leads to considerably faster convergence of the optimization pr...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870700/ https://www.ncbi.nlm.nih.gov/pubmed/28881996 http://dx.doi.org/10.1093/bioinformatics/btx262 |