You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I've been exploring my datasets with scHPF and it looks very promising. Thanks a lot for developing this!
One thing I'm interested in, however, is reconstructing the expression matrix from the cell scores and gene scores. As I understand it, you define each gene and cell's score for a factor k as the expected values of its factor loading multiplied by the budgets. This means that I won't be able to reconstruct the matrix by multiplying the cell and gene scores, but rather that I first have to divide the score by the budget. However, I cannot find any stored information for the budgets. I am thus wondering if you could explain how I could go about in reconstructing the expression matrix.
The reason I am interested in this is because I'd like to use the similarities between the reconstructed matrix and original matrix as a robust metric for finding the suitable number of factors.
Thanks!
The text was updated successfully, but these errors were encountered:
Hi,
I've been exploring my datasets with scHPF and it looks very promising. Thanks a lot for developing this!
One thing I'm interested in, however, is reconstructing the expression matrix from the cell scores and gene scores. As I understand it, you define each gene and cell's score for a factor k as the expected values of its factor loading multiplied by the budgets. This means that I won't be able to reconstruct the matrix by multiplying the cell and gene scores, but rather that I first have to divide the score by the budget. However, I cannot find any stored information for the budgets. I am thus wondering if you could explain how I could go about in reconstructing the expression matrix.
The reason I am interested in this is because I'd like to use the similarities between the reconstructed matrix and original matrix as a robust metric for finding the suitable number of factors.
Thanks!
The text was updated successfully, but these errors were encountered: