Welcome to the Protein folder! In this directory, you'll find various scripts to carry out comprehensive protein analysis. Each script corresponds to a specific step in the protein analysis pipeline.
Here are the main scripts and their functionalities:
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quality_control.py: This script is for Quality Control (QC). It ensures the protein data is accurate, consistent, and reliable. -
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impute.py: This script is for missing data imputation. It uses advanced statistical methods to estimate and fill in missing protein data.python impute.py
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Normalize.py: This script is for normalization. It adjusts raw protein expression measurements to reduce systematic technical differences. -
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Visualize.py: This script is for visualization. You can use this to create intuitive and informative plots of your protein data.python Visualize.py
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differential_analysis.py: This script is for differential analysis. It identifies proteins with statistically significant changes in expression levels between different conditions.python differential_analysis.py
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network_analysis.py: This script is for network analysis. It constructs and analyzes protein networks to identify key proteins and pathways. -
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GSEA.py: This script is for Pathway Analysis. It identifies biological pathways associated with differentially expressed proteins.
Make sure you've installed all required dependencies using pip:
pip install -r requirements.txt