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Identifying and exploiting gene-pathway interactions from RNA-seq data for binary phenotype
BACKGROUND: RNA sequencing (RNA-seq) technology has identified multiple differentially expressed (DE) genes associated to complex disease, however, these genes only explain a modest part of variance. Omnigenic model assumes that disease may be driven by genes with indirect relevance to disease and b...
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| Опубликовано в: : | BMC Genet |
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| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
BioMed Central
2019
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6423879/ https://ncbi.nlm.nih.gov/pubmed/30890140 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12863-019-0739-7 |
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