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Posts by dtm2451
... Looks to me like you should be providing the function with the reverse -- the cells you want to *keep*. cells = colnames(my_dataset)[!(colnames(my_dataset) %in% cells_to_be_removed)] should do the trick. ...
... You can do this pretty simply with `dittoHeatmap()`. It can grab the proper genes and samples subsets of your counts data and even automatically add annotation based on the type of samples. The inputs for such subsetting are `genes` and `cells.use` (dittoSeq is built to work for single-cell data as ...
... You can do this in dittoSeq. `dittoHeatmap()` will even automatically grab the proper genes data subset and automaatically generate metadata annotations. # Import full dataset from edgeR DGEList to the format dittoSeq understands RNAdata <- importDittoBulk(your_DGEList_object) # ...
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