Example Data & Notebooks
Last updated: 2024-07-16
This vignette provides an overview of the example data and accompanying notebooks available for the SDePER package. The example data includes pairs of spatial data (both simulated and real spatial transcriptomic (ST) datasets) with corresponding reference scRNA-seq data. The notebooks detail the description of the notebook, input data (with links to download the data), SDePER settings, running logs, and links to the corresponding results.
Simulated ST data
We generated 5 sets of simulated ST datasets, resulting in 14 combinations of simulated ST and various reference data. For each combination, we provide a link to the corresponding SDePER notebook, which includes links to documentation on the generation of simulated ST data and reference data preprocessing procedures, and links to download the corresponding ST and reference data.
Simulated ST data |
Reference scRNA-seq data |
Notebook |
|---|---|---|
STARmap-based simulation |
Internal reference |
|
External reference |
||
External reference with Vip missing |
||
External reference adding irrelevant high intronic |
||
Internal reference with downsampled Oligo |
||
External reference with downsampled Oligo |
||
STARmap-based simulation with 5 cell types |
Internal reference |
|
External reference |
||
Sequencing-based simulation |
Internal reference |
|
External reference |
||
Sequencing-based simulation with 3x higher cell density |
Internal reference |
|
External reference |
||
Sequencing-based simulation with 6x higher cell density |
Internal reference |
|
External reference |
Real ST data
We collected 4 real ST datasets and their corresponding reference scRNA-seq datasets for cell type deconvolution. Details of these datasets, preprocessing procedures and SDePER notebooks are summarised as below:
Mouse Olfactory Bulb (MOB) |
Melanoma |
Breast Cancer |
IPF Lung |
|
|---|---|---|---|---|
Spatial transcriptomics data source paper |
||||
Spatial transcriptomic technology |
Spatial Transcriptomics v1.0 |
Spatial Transcriptomics v1.0 |
Spatial Transcriptomics v1.0 |
10x Genomics Visium |
Reference scRNA-seq data source paper |
A Cancer Cell Program Promotes T Cell Exclusion and Resistance to Checkpoint Blockade. 2018, Cell |
A single-cell and spatially resolved atlas of human breast cancers. 2021, Nature Genetics |
||
Reference scRNA-seq technology |
10x Genomics Chromium Single Cell Gene Expression (droplet-based) |
Smart-Seq2 (plate-based) |
10x Genomics Chromium Single Cell Gene Expression (droplet-based) |
10x Genomics Chromium Single Cell Gene Expression (droplet-based) |
Preprocess for cell type deconvolution |
||||
run SDePER on this real dataset |
Similarly, the links to download the ST and reference data are available in the notebooks.