| Autor: |
Dipen M. Maru, Scott Kopetz, Jennifer S. Davis, Ignacio I. Wistuba, Riham Katkhuda, David Menter, Michael J. Overman, Van K. Morris, Mark J. Routbort, Omkara Veeranki, Alicia Mejia, Hector A. Alvarez, Bradley M. Broom, Manyam Ganiraju, Wei Wei, Baili Zhang, Zhimin Tong, Huiqin Chen, Justin Windham, Neelima G. Reddy, Wonyul Lee, Dzifa Y. Duose, Yusha Liu, Rajyalakshmi Luthra, Jeffrey S. Morris |
| Rok vydání: |
2023 |
| DOI: |
10.1158/1078-0432.22478934 |
| Popis: |
Sample-wise and Gene-wise correlation of FF/FFPE paired Samples: Scatterplot of gene-specific Spearman correlation of FF/FFPE computed separately for CRCSC samples and non-CRCSC samples , with red and blue marking the overall top 100 and top 200 genes, respectively, in terms of FF/FFPE correlation computed across all samples. Note the high level of agreement across batches that genes with high FF/FFPE correlations for one batch tended to also have high FF/FFPE correlation in the other batch, suggesting high FF/FFPE correla-tion is a characteristic of the gene/probe set. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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