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Multiple‐cumulative probabilities used to cluster and visualize transcriptomes
Analysis of gene expression data by clustering and visualizing played a central role in obtaining biological knowledge. Here, we used Pearson's correlation coefficient of multiple‐cumulative probabilities (PCC‐MCP) of genes to define the similarity of gene expression behaviors. To answer the ch...
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| 出版年: | FEBS Open Bio |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
John Wiley and Sons Inc.
2017
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5715267/ https://ncbi.nlm.nih.gov/pubmed/29226087 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/2211-5463.12327 |
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