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name: ci/abc_atlas_access | ||
on: | ||
push: | ||
branches: | ||
- master | ||
pull_request: | ||
jobs: | ||
test: | ||
name: ${{ matrix.python-version }}, ${{ matrix.os }} | ||
runs-on: ${{ matrix.os }} | ||
strategy: | ||
matrix: | ||
os: [ "macos-latest", "windows-latest", "ubuntu-latest" ] | ||
python-version: [ "3.8", "3.9", "3.10", "3.11" ] | ||
fail-fast: false | ||
steps: | ||
- uses: actions/checkout@v4 | ||
- uses: actions/setup-python@v5 | ||
with: | ||
python-version: ${{ matrix.python-version }} | ||
- name: Install | ||
run: | | ||
python -m pip install --upgrade pip | ||
pip install . | ||
- name: Test | ||
run: pytest tests |
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# Imputed MERFISH spatial transcriptomics of a single adult mouse brain | ||
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The MERFISH spatial transcriptomics dataset ([MERFISH-C57BL6J-638850](MERFISH-C57BL6J-638850.md)) was mapped | ||
to the whole mouse brain taxonomy ([WMB-taxonomy](WMB-taxonomy.md)) using a [hierarchical | ||
correlation method](https://github.com/AllenInstitute/scrattch.mapping). To further integrate the transcriptomics and spatial | ||
profiles of each cell type, 10Xv3 expression was projected or imputed into the | ||
MERFISH space. The basic idea is to compute the k-nearest neighbors (KNNs) | ||
among the 10Xv3 cells for each MERFISH cell and use the average expression of | ||
these neighbors for each gene as the imputed values. Imputed expression values | ||
were generated for 8,460 marker genes. Further details can be found in the | ||
methods section of [Yao et. al](https://www.nature.com/articles/s41586-023-06812-z). | ||
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| Component | Current Version | Size | | ||
|---|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------| | ||
| Expression Matrices | [s3://allen-brain-cell-atlas/expression_matrices/MERFISH-C57BL6J-638850-imputed/20240831](https://allen-brain-cell-atlas.s3.us-west-2.amazonaws.com/index.html#expression_matrices/MERFISH-C57BL6J-638850-imputed/20240831/) | 47 GB | | ||
| Metadata | [s3://allen-brain-cell-atlas/metadata/MERFISH-C57BL6J-638850-imputed/20240831](https://allen-brain-cell-atlas.s3.us-west-2.amazonaws.com/index.html#metadata/MERFISH-C57BL6J-638850-imputed/20240831/) | 1 MB | | ||
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Data is being share under the CC BY NC 4.0 license. | ||
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Related resources : | ||
* Whole mouse brain clustering ([WMB-10X](WMB-10X.md)) | ||
* Whole mouse brain mouse taxonomy of cell types ([WMB-taxonomy](WMB-taxonomy.md)) | ||
* Whole mouse brain MERFISH spatial transcriptomics dataset ([MERFISH-C57BL6J-638850](MERFISH-C57BL6J-638850.md)) | ||
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Associated notebooks: | ||
* [**Getting started**](../notebooks/getting_started.ipynb): learn how to use the AbcProjectCache to | ||
facilitate data download and usage. | ||
* [**10x scRNA-seq clustering analysis and annotation**](../notebooks/cluster_annotation_tutorial.ipynb): learn about the | ||
whole mouse brain taxonomy through some example use cases and visualization. | ||
* **MERFISH whole brain spatial transcriptomics** | ||
* [**Part 1**](../notebooks/merfish_tutorial_part_1.ipynb): Learn about the MERFISH dataset through some example use | ||
cases and visualization for a single brain section. | ||
* [**Part 2a**](../notebooks/merfish_tutorial_part_2a.ipynb): Learn to access data and prepare for whole brain. | ||
example use cases in part 2b. | ||
* [**Part 2b**](../notebooks/merfish_tutorial_part_2b.ipynb): Explore the whole brain data through visualization and | ||
analyses of a set of genes of interest. | ||
* [**MERFISH imputed genes**](../notebooks/merfish_imputed_genes_example.ipynb): | ||
Learn about the using the imputed genes of the MERFISH dataset. |
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