ImmuneDeconv with spatial transcriptomic data

[SoniaHermoso]

Hello!
I have spatial transcriptomic (ST) data from Visium and I would like to use immunedeconv package with it. Specifically, the methods xcell and CIBERSORT.
My question is about the input data. For example, I have my ST data in a Seurat object. After to normalize with SCTransform() function, I have 3 types of data: "counts", "data" and "scale.data". I think that the best option to use in immunedeconv is the "data" type, but I am not sure.
Could anyone help me and to say if this is correct or, if not, how I have to transform my data to use it in ImmuneDeconv , please?

[FFinotello]

Hello Sonia, spacedeconv would be the perfect solution for you as it supports both immunedeconv and omnideconv: https://github.com/omnideconv/spacedeconv

[SoniaHermoso]

Hello FFinotello! thank you so much for your fast answer. I will look information that you sent me.