4 papers
scikit-covtest: Covariance Matrix Hypothesis Testing in Python
Austin Talbot, Ilha Hwang, Cristina Trevino +1
Covariance matrices play a central role across diverse domains such as finance, machine learning, neuroscience, and genetics, where they are used for tasks including dimensionality…
Combining Bayesian and Frequentist Inference for Laboratory-Specific Performance Guarantees in Copy Number Variation Detection
Austin Talbot, Alex V. Kotlar, Yue Ke
Targeted amplicon panels are widely used in oncology diagnostics, but providing per-gene performance guarantees for copy number variant (CNV) detection remains challenging due to a…
Classifying Copy Number Variations Using State Space Modeling of Targeted Sequencing Data: A Case Study in Thalassemia
Austin Talbot, Alex Kotlar, Lavanya Rishishiwar +1
Thalassemia, a blood disorder and one of the most prevalent hereditary genetic disorders worldwide, is often caused by copy number variations (CNVs) in the hemoglobin genes. This d…
Generative Principal Component Regression via Variational Inference
Austin Talbot, Corey J Keller, David E Carlson +1
The ability to manipulate complex systems, such as the brain, to modify specific outcomes has far-reaching implications, particularly in the treatment of psychiatric disorders. One…