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Let's have a function that computes a metric or statistic for every cell across several batches. The function would be a generalization of computeMedianCVperCell().
Tentative signature: computePerCell(object, i, colDataName, FUN, ... ), where colDataName is the names of the column in the colData to store the metric, and FUN is the function that computes the metric for one cell/sample/column, with its arguments passed through ....
I'm not convinced by the function name... The scuttle package implements the perCellQCMetrics method for SE and SCE objects, but the signature differs from what I want and does not allow for custom functions.
Also, we could have a similar function that computes metrics per feature. This would be a generalization of computeSCR.
The text was updated successfully, but these errors were encountered:
Let's have a function that computes a metric or statistic for every cell across several batches. The function would be a generalization of
computeMedianCVperCell()
.Tentative signature:
computePerCell(object, i, colDataName, FUN, ... )
, wherecolDataName
is the names of the column in the colData to store the metric, andFUN
is the function that computes the metric for one cell/sample/column, with its arguments passed through...
.I'm not convinced by the function name... The
scuttle
package implements theperCellQCMetrics
method for SE and SCE objects, but the signature differs from what I want and does not allow for custom functions.Also, we could have a similar function that computes metrics per feature. This would be a generalization of
computeSCR
.The text was updated successfully, but these errors were encountered: