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Untangling the effects of cellular composition on coexpression analysis
Coexpression analysis is widely used for inferring regulatory networks, predicting gene function, and interpretation of transcriptome profiling studies, based on methods such as clustering. The majority of such studies use data collected from bulk tissue, where the effects of cellular composition pr...
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| 出版年: | Genome Res |
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| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Cold Spring Harbor Laboratory Press
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7370889/ https://ncbi.nlm.nih.gov/pubmed/32580998 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1101/gr.256735.119 |
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