ZJUFanLab/bulk2space
a spatial deconvolution method based on deep learning frameworks, which converts bulk transcriptomes into spatially resolved single-cell expression profiles
Jupyter NotebookGPL-3.0
Issues
- 0
Downstream scRNA UMAP analysis
#22 opened by ninashenker - 0
Error in Bulk2space "Incompatible dimensions"
#21 opened by martina811 - 5
Questions about input data requirements
#16 opened by Archi6 - 4
Question: Scalability
#12 opened by ccruizm - 0
How to process the result data
#20 opened by yqkiuo - 0
Bulk RNA normalization
#19 opened by emil-furat - 4
Confused about the train/test steps
#14 opened by Bennylikescoding - 0
Potential applications of Bulk2space
#18 opened by AlexUOM - 1
β-VAE algorithm in the paper
#13 opened by wxpbioinfo - 1
Effect of Irrelevant Bulk RNA-Seq Sample and Selection of Optimal Projects for Test Data
#15 opened by cwarden45 - 0
Question of the DFRunner
#17 opened by Starlitnightly - 7
model.train_df_and_spatial_deconvolution error
#10 opened by zhangqi234 - 2
the question of "quick start" section
#11 opened by coconutll - 2
Only obtain three cell types such as tumor cell, macrophages and neutrophils from bulk data?
#8 opened by zhangqi234 - 4
Preproccessed PDAC data
#9 opened by AlexUOM - 5
- 3
Need Nvidia driver
#2 opened by millersan - 2
convert bulk transcriptomes into spatially resolved single-cell expression profile
#7 opened by Echoloria - 2
- 6
Data availability
#3 opened by loganminhdang - 3
No spatial sequence data
#1 opened by liufuyan2016