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Update 01_plaid-vignette.Rmd
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vignettes/01_plaid-vignette.Rmd

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@@ -53,8 +53,8 @@ load(system.file("extdata", "pbmc3k-50cells.rda", package = "plaid"),verbose=TRU
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dim(X)
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```
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Note that X is the normalized expression matrix form the Seurat
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object, not the raw counts matrix. We recommend to run Plaid on the
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Note that X is the normalized expression matrix from the Seurat
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object, not the raw counts matrix. We recommend to run plaid on the
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log transformed expression matrix, not on the counts, as the average
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in the logarithmic space is more robust and is in concordance to
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calculating the geometric mean.
@@ -72,7 +72,7 @@ computations. But even for dense matrices plaid is fast.
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For convenience we have included the 50 Hallmark genesets in our
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package. But we encourage you to download larger geneset collections
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as Plaid's speed advantage will be more apparent for larger datasets
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as plaid's speed advantage will be more apparent for larger datasets
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and large geneset collections.
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Plaid needs the gene sets as sparse matrix. If you have your

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