Mercurial > repos > imgteam > 3d_tensor_feature_dimension_reduction
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"planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/3d_tensor_feature_dimension_reduction/ commit e82400162e337b36c29d6e79fb2deb9871475397"
author | imgteam |
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date | Thu, 20 Jan 2022 00:45:01 +0000 |
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<tool id="ip_3d_tensor_feature_dimension_reduction" name="Dimensionality Reduction" version="0.0.1" profile="20.05"> <description>for features of 3D tensor data using UMAP</description> <requirements> <requirement type="package" version="1.20.2">numpy</requirement> <requirement type="package" version="3.6.0">h5py</requirement> <requirement type="package" version="2020.10.1">tifffile</requirement> <requirement type="package" version="0.5.2">umap-learn</requirement> </requirements> <command detect_errors="aggressive"><![CDATA[ ln -s '$fn_in' ./input.h5 && python '$__tool_directory__/3d_tensor_feature_dimension_reduction.py' ./input.h5 '$nCh' ./output.tif ]]> </command> <inputs> <param name="fn_in" type="data" format="hdf5" label="3D tensor data (rows x cols x features)" /> <param name="nCh" type="integer" value="5" optional="true" min="1" max="10" label="Reduced dimensions of features" /> </inputs> <outputs> <data format="tiff" name="fn_out" from_work_dir="output.tif" /> </outputs> <tests> <test> <param name="fn_in" value="tensor.h5"/> <param name="nCh" value="3"/> <output name="fn_out" value="tensor_r.tif" ftype="tiff" compare="sim_size"/> </test> </tests> <help> **What it does** This tool performs dimensionality reduction for features of 3D tensor data (rows x cols x features) using UMAP. The results will be saved as a multi-channel 32-bit TIFF image (features x rows x cols). </help> <citations> </citations> </tool>