scPortrait
scPortrait is a scalable toolkit to generate single-cell representations from raw microscopy images
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최종 버전 다운로드 (.zip)- bug_report.md
- feature_request.md
- bump_version.yml
- create_release.yml
- delete_workflow_runs.yml
- e2e_test.yml
- generate_documentation.yml
- publish_on_pypi.yml
- unit_test.yml
- unit_test_os_matrix_manual.yml
- unit_test_python_matrix.yml
- pull_request_template.md
- custom.css
- hide_links.css
- scPortrait_logo_dark.svg
- scPortrait_logo_light.svg
- index.rst
- class_hierarchy.png
- classifying_autophagy.png
- cytosol_mask.png
- extraction_process.png
- graphical_abstract.png
- graphical_abstract_without_title.png
- HDF5_data_containers.png
- input_image.png
- nucleus_mask.png
- nucleus_mask_excerpt.png
- nucleus_mask_numeric.png
- project_structure.png
- scportrait_workflow_steps.png
- scportrait_workflow_steps_with_explaination.png
- segmentation_classes.png
- segmentation_output_WGASegmentation.png
- single_cell_dataset.png
- WGA_segmentation_cytosol.png
- WGA_segmentation_nucleus.png
- extraction.rst
- featurization.rst
- project.rst
- segmentation.rst
- segmentation_workflows.rst
- selection.rst
- h5sc.rst
- ml.rst
- parsing.rst
- sdata.rst
- stitching.rst
- io.rst
- pipeline.rst
- plotting.rst
- processing.rst
- tools.rst
- _notebook_deep_learning.nblink
- _notebook_segmentation_workflows.nblink
- _notebook_single_cell_extraction_configuration.nblink
- _notebook_workflow_walkthrough.nblink
- Example_Notebook_TimeCourse_Project.ipynb
- example_parsing_notebook.ipynb
- example_stitching_notebook.ipynb
- config.rst
- featurization_methods.rst
- package_design.rst
- project.rst
- segmentation_workflow.rst
- single_cell_image_format.rst
- spatialdata.rst
- _notebook_sharded_hpa.nblink
- _notebook_sharded_large.nblink
- example_notebooks.ipynb
- installation.rst
- tutorials.rst
- workflow.rst
- conf.py
- CONTRIBUTING.md
- favicon.png
- index.rst
- make.bat
- Makefile
- GALLERY_HEADER.rst
- plot_rgb_single_cell_image_grid.py
- plot_rgb_single_cell_images.py
- GALLERY_HEADER.rst
- run_seg_any_image.py
- GALLERY_HEADER.rst
- notebooks
- requirements.txt
- requirements_convnext.txt
- requirements_dev.txt
- requirements_docs.txt
- requirements_plotting.txt
- requirements_segmentation.txt
- requirements_stitching.txt
- requirements_test.txt
- requirements_zstack.txt
- __init__.py
- deprecation.py
- optional_dependencies.py
- paths.py
- __init__.py
- _dataloader.py
- _datasets.py
- _single_cell_images.py
- __init__.py
- _convert.py
- daskmmap.py
- h5sc.py
- constants.py
- helper.py
- sdata_io.py
- segmentation.py
- spatialdata_helper.py
- __init__.py
- filter_segmentation.py
- workflows.py
- __init__.py
- _base_segmentation_workflow.py
- _cellpose.py
- _model_caches.py
- _wga_segmentation.py
- __init__.py
- segmentation.py
- __init__.py
- _base.py
- extraction.py
- featurization.py
- project.py
- selection.py
- __init__.py
- _utils.py
- _vis.py
- h5sc.py
- sdata.py
- __init__.py
- _image_processing.py
- _zstack_compression.py
- __init__.py
- mask_filtering.py
- __init__.py
- __init__.py
- operations.py
- __init__.py
- callback.py
- datasets.py
- metrics.py
- models.py
- plmodels.py
- pretrained_models.py
- transforms.py
- utils.py
- __init__.py
- _parse_phenix.py
- __init__.py
- __init__.py
- _image_processing.py
- _subset.py
- __init__.py
- _get_elements.py
- __init__.py
- _helper.py
- _write.py
- __init__.py
- __init__.py
- alignment.py
- ashlar_plotting.py
- filereaders.py
- filewriters.py
- graphs.py
- parallelilzation.py
- parallelized_ashlar.py
- __init__.py
- _stitch.py
- __init__.py
- __init__.py
- conftest.py
- test_data_loaders.py
- test_full_pipeline_run.py
- test_dataloader.py
- test_remote_datasets.py
- test_h5sc_io.py
- test_base.py
- test_extraction_memory_calibration.py
- test_extraction_output_files.py
- test_featurization.py
- test_pipeline_utils_segmentation.py
- test_project_input_loaders.py
- test_segmentation_channel_selection.py
- test_segmentation_serialization_helpers.py
- test_utils_helper.py
- test__vis.py
- test_h5sc.py
- test_sdata.py
- test_images.py
- test_datasets.py
- test_transforms.py
- test_phenix_parser.py
- test_subset.py
- test_utils.py
- test_write.py
- test_alignment.py
- test_optional_dependencies.py
- conftest.py
- .bumpversion.toml
- .gitignore
- .gitmodules
- .pre-commit-ci-config.yaml
- .pre-commit-config.yaml
- CODE_OF_CONDUCT.md
- LICENSE
- MANIFEST.in
- pyproject.toml
- README.md
# 설치 가이드
1. 코드 내려받기
git clone https://github.com/MannLabs/scPortrait
깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.
cd scPortrait
방금 내려받은 프로젝트 폴더 안으로 이동합니다.
2. 공식 설치 스크립트
쉬움 추천사전 준비물
- Python 3 pip 명령어를 쓰려면 Python이 필요합니다.
pip install scportrait
PyPI에 배포된 패키지를 바로 설치합니다. 소스 클론이 필요 없습니다.
설치 후 새 터미널을 열고, 프로그램의 버전 확인 명령(예: --version)으로 정상 설치됐는지 확인하세요.
이 레포의 README에 적힌 실제 명령어를 그대로 가져왔습니다.
// repository documentation
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