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A novel joint analysis framework improves identification of differentially expressed genes in cross disease transcriptomic analysis
MOTIVATION: Detecting differentially expressed (DE) genes between disease and normal control group is one of the most common analyses in genome-wide transcriptomic data. Since most studies don’t have a lot of samples, researchers have used meta-analysis to group different datasets for the same disea...
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| Publicado no: | BioData Min |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5819186/ https://ncbi.nlm.nih.gov/pubmed/29467826 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13040-018-0163-y |
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