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CellCODE: a robust latent variable approach to differential expression analysis for heterogeneous cell populations
Motivation: Identifying alterations in gene expression associated with different clinical states is important for the study of human biology. However, clinical samples used in gene expression studies are often derived from heterogeneous mixtures with variable cell-type composition, complicating stat...
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| Publicado no: | Bioinformatics |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4426841/ https://ncbi.nlm.nih.gov/pubmed/25583121 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btv015 |
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