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Thank you for the nice work! I am trying to reproduce the STARmap simulation results of Figure 4, but the RCTD results I obtained are slightly different from what you shared in the folder FigureData/Figure4/Dataset10_STARmap/Result_STARmap/RCTD_result.txt. Specifically, I am using following datasets as the input data:
Spatial count: FigureData/Figure4/Dataset10_STARmap/Simulated_STARmap/combined_spatial_count.txt
scRNA-seq reference: from the DataUpload.zip file in the shared google drive: DataUpload/Dataset10/scRNA_count.txt
scRNA-seq reference annotation: FigureData/Figure4/Dataset10_STARmap/Rawdata/starmap_sc_rna_celltype.tsv
Am I using the correct input files as you used for the STARmap experiments in Figure 4? Or did you do further preprocessing before using them as inputs for deconvolution? I tried to follow BLAST_CelltypeDeconvolution.ipynb as well, but in there it is mentioned that for SpatialDWLS, RCTD, Seurat and SPOTlight, the input is a .h5seurat file, which I cannot find.
For further details, I used the above mentioned files as input for RCTD with default parameters, and comparing the results I got with the shared RCTD_results.txt, the mean difference across cell types are listed below:
Astro Endo Excitatory.L2.3 Excitatory.L4
0.008530383 0.013151105 0.033019338 0.040755041
Excitatory.L5 Excitatory.L6 Inhibitory.Other Inhibitory.Pvalb
0.037881955 0.058106645 0.048388479 0.050582087
Inhibitory.Sst Inhibitory.Vip Micro Neuron.Other
0.072285689 0.017592593 0.006866524 0.012171693
Olig Other Smc
0.019501107 0.009123502 0.004113764
I am trying to understand what caused the difference. Thanks!
The text was updated successfully, but these errors were encountered:
Hi~ Thank you for your interest in our data associated with the paper.
We provided the h5ad file for users to reproducing our results. So if you want to get the result for RCTD, you can used the R command:
Convert("FigureData/Figure4/Dataset10_STARmap/Simulated_STARmap/starmap_sc_rna.h5ad", dest = "h5seurat", overwrite = TRUE)
Convert("FigureData/Figure4/Dataset10_STARmap/Simulated_STARmap/starmap_spatial.h5ad", dest = "h5seurat", overwrite = TRUE)
to obtain the h5seurat files as input.
And we have checked the result for RCTD, we have get the same result with what we shared in the folder. We don't know if different platforms may cause slightly different results. You can use the converted h5seurat file sa input to compare the result for RCTD.
Hi,
Thank you for the nice work! I am trying to reproduce the STARmap simulation results of Figure 4, but the RCTD results I obtained are slightly different from what you shared in the folder FigureData/Figure4/Dataset10_STARmap/Result_STARmap/RCTD_result.txt. Specifically, I am using following datasets as the input data:
Spatial count: FigureData/Figure4/Dataset10_STARmap/Simulated_STARmap/combined_spatial_count.txt
scRNA-seq reference: from the DataUpload.zip file in the shared google drive: DataUpload/Dataset10/scRNA_count.txt
scRNA-seq reference annotation: FigureData/Figure4/Dataset10_STARmap/Rawdata/starmap_sc_rna_celltype.tsv
Am I using the correct input files as you used for the STARmap experiments in Figure 4? Or did you do further preprocessing before using them as inputs for deconvolution? I tried to follow BLAST_CelltypeDeconvolution.ipynb as well, but in there it is mentioned that for SpatialDWLS, RCTD, Seurat and SPOTlight, the input is a .h5seurat file, which I cannot find.
For further details, I used the above mentioned files as input for RCTD with default parameters, and comparing the results I got with the shared RCTD_results.txt, the mean difference across cell types are listed below:
Astro Endo Excitatory.L2.3 Excitatory.L4
0.008530383 0.013151105 0.033019338 0.040755041
Excitatory.L5 Excitatory.L6 Inhibitory.Other Inhibitory.Pvalb
0.037881955 0.058106645 0.048388479 0.050582087
Inhibitory.Sst Inhibitory.Vip Micro Neuron.Other
0.072285689 0.017592593 0.006866524 0.012171693
Olig Other Smc
0.019501107 0.009123502 0.004113764
I am trying to understand what caused the difference. Thanks!
The text was updated successfully, but these errors were encountered: