StreamFlow run of digital pathology tissue/tumor prediction workflow
收藏NIAID Data Ecosystem2026-05-01 收录
下载链接：
https://zenodo.org/record/7911905
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资源简介：
This dataset is an RO-Crate representation of an execution of the tissue/tumor prediction workflow for digital pathology from crs4/deephealth-pipelines. It follows the Provenance Run Crate profile. The workflow has been run with StreamFlow, using the following commands to produce an RO-Crate bundle:
# Run the pipeline
streamflow run \
--name ml-predict-pipeline-streamflow \
streamflow.yml
# Generate the RO-Crate bundle
streamflow prov \
--add-file src=README.md,dst=/README.md,about="{\"@id\":\"./\"}",encodingFormat=text/markdown \
--add-property \./.license=https://spdx.org/licenses/MIT \
--add-property \./.name="DeepHealth Pipeline" \
--add-property \./.description="Run of digital pathology tissue/tumor prediction workflow" \
--file streamflow.yml \
ml-predict-pipeline-streamflow
The input dataset is Mirax2-Fluorescence-2 by Yves Sucaet, from the MIRAX test data.
创建时间：
2023-05-10
