Training Flexible Models of Genetic Variant Effects from Functional Annotations using Accelerated Linear Algebra

Alan Nawzad Amin; Andres Potapczynski; Andrew Gordon Wilson

2025 ICML ICML 2025

Training Flexible Models of Genetic Variant Effects from Functional Annotations using Accelerated Linear Algebra

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.

Authors

Alan Nawzad Amin, Andres Potapczynski, Andrew Gordon Wilson

Topics

Machine Learning > Application Areas > Domain Adaptation Deep Learning > Architectures > Neural Networks

Keywords

linear algebra genetic variant neural network matrix inversion likelihood optimization functional annotations

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