Description
Reproducibility Data for UniGeneXThis repository contains the training inputs and pre-trained models to verify the installation and basic functionality of the UniGeneX without needing to retrain the models from scratchFile DescriptionsInput raw count dataraw.zip: Raw count matrices/data.HLCA_data_files_sl.npy: List of HLCA datasets used for training. All other datasets were excluded from training and reserved exclusively for testing.0. Files for installation_highly_variable_genes.py: Modified "sc.tl.highlyvariablegenes" .py file.Arial*.ttf: Font files required for consistent rendering of publication-quality figures generated by the pipeline
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Metrics Over Time
Publication Details
Subfield
Sociology and Political Science
Field
Social Sciences
Domain
Social Sciences
Confidence Score
37%
Source
Scholar Data Model