I have 3 cell types in seurat object and I want to compare GSEA for all the 3 cell types and plot it together in a single plot. How to do it any suggestion, which plot is suitable? The target gene set contains 300 genes.

I am new to bioinformatics and I am not sure what the erorr could be.
I want to analyze single cell data with Seurat, I have filtered my genes.tsv file, to only contain protein coding genes, since then I can not create a seurat object when merging my files (barcode.tsv, genes.tsv, matrix.tsv)
here is how the code and output looks like

I am using a BPCells with my Seurat v5 object. I am trying to run FindTransferAnchors but am having issues with my two datasets. The query Seurat objects counts layers is a dgCMatrix and the reference Seurat Object’s counts layer is an IterableMatrix. Does the counts layer in my reference Seurat object need to be converted from a IterableMatrix to a dgCMatrix? How do I convert it to a dgCMatrix?

I am new in bioinformatic analysis and single-cell RNA analysis using Seurat in R. I want to analyze the samples GSM7030509, GSM7030510, GSM7030511, and GSM7030512 from GEO accession GSE224727, but data is in mtx.txt format and I don’t know how to create a Seurat Oject.

I have integratted data. Now i want to do supervised clustring based upon the list of specific genes(total 1112 genes as character vector). Following is code.