Machine LearningVirus DNA Predictor
A desktop application for predicting virus types from DNA sequences using advanced machine learning techniques. Features multiple DNA-to-numeric conversion methods (VOSS, Z-curve, CGR, etc.), sequence preprocessing, feature extraction, and classification models. Built with PyQt5 for an interactive user interface.
Project Duration
Nov 2024 — Nov 2024
Client
Biotech ClientNDA
Key Features
DNA sequence analysis
Multiple encoding methods
ML classification
Feature extraction
Interactive GUI
Batch processing
Technology Stack
PythonPyQt5Machine LearningScikit-learnPandasNumPy
Project Metrics
93%
accuracy
15+
encodings
1000+
sequences
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