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# Core data science
numpy>=1.21.0
pandas>=1.3.0
scipy>=1.7.0
scikit-learn>=1.0.0
# Neuroimaging
nilearn>=0.9.0
nibabel>=3.2.0
mne>=1.0.0
# Genomics/Bioinformatics
biopython>=1.79
mygene>=3.2.2
bioservices>=1.8.0
pyensembl>=1.9.0
# Metabolomics
metabolabpy>=0.3.0
cobrapy>=0.25.0
# ML/AI frameworks
torch>=1.9.0
transformers>=4.15.0
datasets>=2.0.0
# Visualization
plotly>=5.0.0
dash>=2.0.0
matplotlib>=3.5.0
seaborn>=0.11.0
# Utilities
tqdm>=4.62.0
requests>=2.25.0
pyyaml>=6.0
joblib>=1.1.0
# Your adapted frameworks will be included directly