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avantikalal
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- .gitattributes +1 -0
- README.md +47 -3
- data.h5ad +3 -0
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# Video files - compressed
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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# 1. Metadata Block
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license: mit
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task_categories:
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- tabular-classification
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tags:
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- biology
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- genomics
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pretty_name: "gReLU Tutorial 2 dataset"
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size_categories:
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- 1M<n<10M
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---
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# tutorial-2-data
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## Dataset Summary
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This dataset contains binary accessibility values for 1154611 CREs in 222 cell types. The original source of this data is CATlas (https://decoder-genetics.wustl.edu/catlasv1/humanenhancer/data/cCRE_by_cell_type/). For more details, see https://decoder-genetics.wustl.edu/catlasv1/catlas_humanenhancer/#!/. This version of the dataset is used in gReLU tutorial 2 (https://github.com/Genentech/gReLU/blob/main/docs/tutorials/2_finetune.ipynb).
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## Dataset Structure
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### Data Fields
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In `.obs`:
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| Column | Type | Description |
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| :--- | :--- | :--- |
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| `cell type` | string | Name of the cell type |
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In `.var`:
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| Column | Type | Description |
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| :--- | :--- | :--- |
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| `chrom` | string | Chromosome (e.g., `chr6`) |
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| `start` | int | Genomic start position (hg38) |
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| `end` | int | Genomic end position (hg38) |
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| `Class` | category | CRE class |
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`.X` is a binary accessibility matrix of shape (222 × 1154611) in Compressed Sparse Row format.
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## Usage
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```python
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import anndata
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from huggingface_hub import hf_hub_download
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file_path = hf_hub_download(repo_id="Genentech/tutorial-2-data", filename="data.h5ad")
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ada = anndata.read_h5ad(file_path)
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```
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data.h5ad
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version https://git-lfs.github.com/spec/v1
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oid sha256:bbe4343c308c83efee0c4ec085229c82a6a7077df1bd66cb4096801a4578aa60
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size 196201614
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