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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...
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| Veröffentlicht in: | Bioinformatics |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Oxford University Press
2017
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5870700/ https://ncbi.nlm.nih.gov/pubmed/28881996 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btx262 |
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