Welcome to NZ-SeQTech’s documentation!

NZ-SeQTech is a Python library designed to facilitate DNA sequence encoding in quantum machine learning applications. With NZ-SeQTech, you can effortlessly encode DNA sequences using various data encoding techniques we have developed and discussed in our article 📄 Classical-to-Quantum Sequence Encoding in Genomics. This library is distributed under the Apache license.

Check out the NZ-SeQTech Documentation section for further information, including the installation the project.

Note

This project is under active development.

Contents

• NZ-SeQTech Documentation
  • Installation
  • Quantum DNA Encoding
  • Classical DNA Sequence Analysis
  • Classical Machine Learning Models
  • Quantum Machine Learning Models
• Data Preprocessing Guide
  • Enhancing Data
  • Handling Missing Values
    • Dealing with Missing Data
  • Feature Engineering Techniques
    • Enhancing Features
  • Train-Test Split
• Tutorial-1
  • Importing the package
  • Importing quantum_dna_encoding module
  • Testing the quantum DNA encoding methods
  • Testing the visualization methods
• Tutorial-2
  • Importing the package
  • Importing classical_operations module
  • Testing the DNA analyser
• Tutorial-3
  • Importing the package
  • Importing classical_ml_models module
  • Testing gaussian_process_model with a suggested dataset
  • Testing decision_tree_model with a loaded dataset
• Tutorial-4
  • Importing the package
  • Importing quantum_ml_models module
  • Testing QNN class with a suggested dataset
  • Testing QNN class with a loaded dataset