Hybrid autoencoder with orthogonal latent space for robust population structure inference.

Abstract excerpt

Analysis of population structure and genomic ancestry remains an important topic in human genetics and bioinformatics. Commonly used methods require high-quality genotype data to ensure accurate inference. However, in practice, laboratory artifacts and outliers are often present in the data. Moreover, existing methods are typically affected by the presence of related individuals in the dataset. In this work, we...

Topics

Join the communities discussing this publication.

• Genetics, Population
• Genotype
• Neural Networks, Computer
• Principal Component Analysis