Spritan/ParkinsonDisease_ProteinClassifier

A machine learning pipeline for classifying protein sequences associated with Parkinson's disease using various sequence features and multiple classification models. The project achieves 80.3% accuracy using LSTM architecture with comprehensive sequence feature analysis.

20
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Experimental

This project helps medical researchers and biologists classify protein sequences to identify those associated with Parkinson's disease. You input FASTA files containing various protein sequences, and it outputs a classification indicating whether each protein is linked to Parkinson's. This tool is for scientists working on disease diagnostics or drug discovery related to neurodegenerative disorders.

No commits in the last 6 months.

Use this if you need to quickly identify potential Parkinson's disease-associated proteins from a set of protein sequences to accelerate research or diagnostic development.

Not ideal if you require 100% diagnostic certainty from a single model or need to classify proteins for diseases other than Parkinson's.

biomedical-research neurodegeneration protein-analysis disease-diagnostics bioinformatics
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 0 / 25

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7

Forks

Language

Python

License

MIT

Last pushed

Nov 18, 2024

Commits (30d)

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