Health IT Analytics August 6, 2020
A deep learning algorithm can boost genomic sequencing and better identify disease-causing mechanisms.
A deep learning tool could improve genomic sequencing processes, identifying disease-causing mechanisms that might otherwise be missed by traditional screening methods, according to a study published in Nature Machine Intelligence.
Researchers from Children’s Hospital of Philadelphia (CHOP) and New Jersey Institute of Technology (NJIT) developed the tool, which can help predict sites of DNA methylation – a process that can change the activity of DNA without changing its overall structure.
DNA methylation is involved in many key cellular processes and is an important component in gene expression. Errors in methylation can be linked to a wide range of human diseases. Genomic sequencing tools can effectively pinpoint polymorphisms...
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