<p class="jove_content">This protocol aims to cluster gene expression data for cancer classification using a Hybrid Quantum K-Means algorithm that automatically detects the optimal number of clusters and separates them efficiently, advancing bioinformatics applications on Noisy Intermediate-Scale Quantum&#160;( NISQ) devices.</p>

bioinformatics-approach-to-cancer-prediction-using-quantum-clustering

Bioinformatics Approach to Cancer Prediction using Quantum Clustering Algorithm for Behavioral Similarity in Gene Expression

This study introduces a Hybrid Quantum K-Means Clustering Algorithm with automatic cluster detection for classifying cancerous and non-cancerous gene ...

Institution - Acharya Prafulla Chandra College

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