Back to search

Article

Training with synthetic data provides accurate and openly-available DNA methylation classifiers for developmental disorders and congenital anomalies via MethaDory

2025-03-30

Abstract excerpt

Multiple developmental and congenital disorders due to genetic variants or environmental exposures are associated with unique genome-wide alterations in DNA methylation (DNAm). Consequently, these patterns referred to as DNAm signatures, can be leveraged for diagnostic purposes by developing artificial intelligence (AI) models that enable molecular subclassification of individuals. Notably, DNAm signature applicat...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
f2695acd-b974-5999-961a-33a7fd8f519e
DOI
10.1101/2025.03.28.25324859
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Training with synthetic data provides accurate and openly-available DNA methylation classifiers for developmental disorders and congenital anomalies via MethaDoryDOI 10.1101/2025.03.28.25324859
Select a neighboring publication to make it the new centre.