AI/ML-Driven Gene Analysis: New Perspectives on Variant Calling in Normal Human Tissue Using scRNA-seq Data.

Abstract excerpt

Advances in artificial intelligence (AI) and machine learning (ML) have rapidly transformed bioinformatics, offering new solutions for data-intensive challenges in genomics. In this chapter, we introduce a practical protocol that contrasts a conventional variant-calling approach with a modern AI/ML-based method using single-cell RNA sequencing (scRNA-seq) data. Focusing on somatic variant detection in a normal...

Topics

• Humans
• Artificial Intelligence
• Machine Learning
• Single-Cell Analysis
• Single-Cell Gene Expression Analysis
• RNA-Seq