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A hierarchical Bayesian mixture model for inferring the expression state of genes in transcriptomes
Transcriptomes are key to understanding the relationship between genotype and phenotype. The ability to infer the expression state (active or inactive) of genes in the transcriptome offers unique benefits for addressing this issue. For example, qualitative changes in gene expression may underly the...
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| Pubblicato in: | Proc Natl Acad Sci U S A |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
National Academy of Sciences
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7431084/ https://ncbi.nlm.nih.gov/pubmed/32709743 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1919748117 |
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