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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...
में बचाया:
| में प्रकाशित: | Bioinformatics |
|---|---|
| मुख्य लेखकों: | , , |
| स्वरूप: | Artigo |
| भाषा: | Inglês |
| प्रकाशित: |
Oxford University Press
2015
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| विषय: | |
| ऑनलाइन पहुंच: | 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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