2026

UniGeneX: Input Data and Installation Assets

Xiaomeng, Wan

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

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.5

FAIR Score

85%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

License

Wan Xiaomeng

Assigned Domain

Subfield

Sociology and Political Science

Field

Social Sciences

Domain

Social Sciences

Confidence Score

37%

Source

Scholar Data Model

Normalization Factors

FT

51.92

CTw

1.00

MTw

1.00