real_multi_modality #459
real_multi_modality #459
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… celltype_annotation_automl
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… celltype_annotation_automl
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… celltype_annotation_automl
… celltype_annotation_automl
for more information, see https://pre-commit.ci
… celltype_annotation_automl
for more information, see https://pre-commit.ci
… celltype_annotation_automl
for more information, see https://pre-commit.ci
for more information, see https://pre-commit.ci
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A decorator that modifies a class to add functionality for working with specific modalities (mod) in a mudata object.
examples/atlas/config/run_config.csv
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Specify the dataset and algorithm parameters for the command generation script
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According to the search records of the query dataset, the results of using the optimal preprocessing processes of different atlas datasets on the query dataset are obtained.
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Compare the optimal preprocessing process of the dataset most similar to the query dataset on the atlas with the application results of other preprocessing processes on the query dataset.
examples/atlas/setup_run.py
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Generate commands and run configurations based on algorithm and data set parameters, requiring command and run configuration templates.
examples/atlas/upload_data.py
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Upload the locally stored dataset to Dropbox
examples/get_result_web.py
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Retrieve local automatic machine learning search records, obtain the sweep_url of functions and processes, and the parameter configuration of the best method.
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The methods for obtaining the more important preprocessing functions of sweep and their combinations mainly include random forest method, apriori association analysis algorithm, and Kruskal-Wallis combined with Dunn test algorithm.
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Run Configuration Template
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The methods for obtaining the more important preprocessing functions of sweep and their combinations mainly include random forest method, apriori association analysis algorithm, and Kruskal-Wallis combined with Dunn test algorithm.
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Obtain and organize important preprocessing functions and their combinations through experimental results.
examples/result_analysis/get_num.py
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Count the total number of experiment runs across different tasks in W&B project.
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