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Discovering Genetic Signatures Associated with Alzheimer’s Disease in Tiled Whole Genome Sequence Data: Results from the Artificial Intelligence for Alzheimer’s Disease (AI4AD) Consortium

2024-08-03

Abstract excerpt

Currently, the ability to analyze large-scale whole genome sequence (WGS) data is limited due to both the size of the data and the inability of many existing tools to scale. To address this challenge, we use data “tiling” to efficiently partition whole genome sequences into smaller segments resulting in a simple numeric matrix of small integers. This lossless representation is particularly suitable for machine lea...

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Literature Corpus work: be3c6c55-cc4a-52dc-943b-939ee79f84aa
DOI: 10.1101/2024.08.01.24311329

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