bulk2space
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a spatial deconvolution method based on deep learning frameworks, which converts bulk transcriptomes into spatially resolved single-cell expression profiles
Hello everyone, I am trying to use bulk2space but I get the following error message. I think there is something wrong when my bulk and my sc-panel interact because if...
Good day, I am eager to test this excellent tool on our data. I have seen in the tutorial and demo data that the vignette uses only one bulk RNA...
I have a general question about how to process the result data. The matrix result of bulk2space seems to be log_normalized, like *_new_sc_data.csv. How can we use this for downstream...
Hello, What normalization method should be used for the input bulk RNA seq data? I have reviewed the manuscript, however I could not find mention of this. Looking at the...
Dear Professors, Thanks for coming up with this great tool. However, I'm confused with how to use it by the tutorial. In PDAC deconvolution, the tutorial only uses the train_vae...
Thank you for developing Bulk2space, it is a very exciting tool and I had the chance to work with it for a while now. I have few questions about its...
Hello, author, In Figure 1b of your paper,I don't know why β-VAE can analyze the rate of cells of each cell type. I have studied this algorithm carefully and its...
Hi, Thank you very much for putting together this code. I would like to better understand when Bulk2Space might help versus when there are limits to applicability to Bulk2Space, following...
Hi, I'm trying to recreate your mouse hypothalamus UMAP in the paper (Figure 5b). Here you show UMAP layout of single-cell profiles generated from bulk tissue by Bulk2Space. I have...