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Improving sensitivity of linear regression-based cell type-specific differential expression deconvolution with per-gene vs. global significance threshold
BACKGROUND: The goal of many human disease-oriented studies is to detect molecular mechanisms different between healthy controls and patients. Yet, commonly used gene expression measurements from blood samples suffer from variability of cell composition. This variability hinders the detection of dif...
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| Published in: | BMC Bioinformatics |
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| Main Authors: | , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
BioMed Central
2016
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5073979/ https://ncbi.nlm.nih.gov/pubmed/27766949 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-016-1226-z |
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