The dims contain missing values?

[Siteng999]

[Dear dosorio

Thank you for your provide convenience.

When I used scTenifoldKnk, the following errors appeared in some experiments, but I checked the matrix and found that there was no missing values.
Do you have any solutions?

Warning message:
In asMethod(object) :
sparse->dense coercion: allocating vector of size 1.4 GiB
Error in dim(mat) <- new_modes : the dims contain missing values
Calls: scTenifoldKnk ... -> cpDecomposition -> rs_unfold -> unfold
In addition: There were 21 warnings (use warnings() to see them)
Execution halted

Gratefully，
siteng](url)

[shelbyhavel]

I'm also having the same issue, have you found any solutions?

[Siteng999]

The reason for the above problem is that you don't have enough computing resources. you may consider reducing the number of genes in order to successfully complete the virtual KO. By the way. check if the expression of the candidate genes is strong enough in order to pass the set cut-off threshold.