Hello everyone!

I new here. Actually I downloaded a huge big scRNA-seq .txt file from paper. And I want to analyze this seq data with R ~ "Seurat" package. But in order to do that, I have to convert this .txt format into .mtx file using R Matrix() package!!

And scRNA-seq data format looked like this:

library(Matrix)

micedata <- read.table(file = "mice.txt", header = T, sep="") 

typeof(micedata)
#"list"

dim(micedata)
#[1] 14699 37070

And micedata looked like this:

head(micedata[1:5, 1:3])

    GENE Aging_mouse_brain_portal_data_6_AAACCTGAGGCCCTTG Aging_mouse_brain_portal_data_6_AAACGGGAGAGACGAA
1  Sox17                                         0.000000                                                0
2 Mrpl15                                         1.340271                                                0
3 Lypla1                                         0.000000                                                0

But problem is that when i try to create sparse matrix it shows following errors:

# save sparse matrix
sparse.micedata <- Matrix(micedata, sparse = T )

Error in storage.mode(from) <- "double" : 
  (list) object cannot be coerced to type 'double'

I already stored genes.tsv and barcodes.tsv

# save genes and cells names
write(x = rownames(micedata), file = "genes.tsv") 
write(x = colnames(micedata), file = "barcodes.tsv")

How can i convert to sparse matrix from micedata? Thank you