We propose an empirically-driven coverage correction strategy that leverages prior annotation information in a multi-distance learning context.
Overall, our results indicate that machine learning approaches can substantially improve ccfDNA WGS coverage profile correction and downstream analyses.
An empirically-driven coverage correction strategy that leverages prior annotation information in a multi-distance learning context to improve within-sample�...
Herein, we propose an empirically-driven coverage correction strategy that leverages prior annotation information in a multi-distance learning context to�...
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Abstract: Shallow-depth whole-genome sequencing (WGS) of circulating cell-free DNA (ccfDNA) is a popular approach for non-invasive genomic screening assays,�...
Coverage Profile Correction of Shallow-Depth Circulating Cell-Free DNA Sequencing via Multi-Distance Learning. N. Larson, M. Larson, J. Na, C. Sosa,�...
... through a mobile device's QR code reader. ... Coverage profile correction of shallow-depth circulating cell free DNA sequencing via multi-distance learning.
Aug 5, 2024 � More recently, distance learning and k-nearest neighbours have been proposed [42] to correct coverage profiles. As opposed to previous work, the�...
Dec 3, 2021 � Here, we introduce a deep-learning pipeline designed for TSS coverage profiles generated from shallow cfDNA sequencing called the Autoencoder of�...
Missing: Multi- | Show results with:Multi-
Low-coverage whole-genome cell-free DNA (cfDNA) sequencing was used to identify copy number alterations and differential cfDNA fragmentation.
Missing: Shallow- via