Low expressed genes
from one review I found this statement: removing features whose counts are consistently low (for example, removing all features that have a count of less than say 10 in more than 90% of the samples)
Can you explain how to remove less count genes in 90% samples in excel???
Anyone please guide me
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Say your matrix is called cts:
keep <- rowSums(cts > 10) > (ncol(cts) * 0.9)
cts[keep,]
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No, since one should not even consider Excel for NGS datasets. Is
Ran option?ohk then how to remove low count genes in 90% of samples?