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receptLoss identifies genes whose expression is lost in subsets of tumors relative to normal tissue. It is particularly well-suited in cases where the number of normal tissue samples is small, as the distribution of gene expression in normal tissue samples is approximated by a Gaussian. Originally designed for identifying nuclear hormone receptor expression loss but can be applied transcriptome wide as well.
Package details |
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Author | Daniel Pique, John Greally, Jessica Mar |
Bioconductor views | GeneExpression StatisticalMethod |
Maintainer | Daniel Pique <daniel.pique@med.einstein.yu.edu> |
License | GPL-3 + file LICENSE |
Version | 1.2.0 |
Package repository | View on Bioconductor |
Installation |
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