Classifying Copy Number Variations Using State Space Modeling of Targeted Sequencing Data: A Case Study in Thalassemia

Austin Talbot; Alex V. Kotlar; Lavanya Rishishwar; Yue Ke

2025 MLHC MLHC 2025

Classifying Copy Number Variations Using State Space Modeling of Targeted Sequencing Data: A Case Study in Thalassemia

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Healthcare & Medicine

Authors

Austin Talbot, Alex V. Kotlar, Lavanya Rishishwar, Yue Ke

Topics

Machine Learning > Core Methods > Classification Machine Learning > Optimization & Theory > Bayesian Inference Healthcare & Medicine > Research > Bioinformatics

Keywords

decision theory state space model bayesian methodology copy number variations targeted sequencing thalassemia

Download PDF