Scientists find cause of autism in ‘junk’ DNA
Using Artificial Intelligence (AI),
researchers have discovered new genetic flaws that contribute to autism
in people. Most previous research on the genetic basis of disease has
focused on the 20,000 known genes and the surrounding sections of DNA
that regulate those genes. However, even this enormous amount of genetic
information makes up only slightly more than one per cent of the 3.2
billion chemical pairs in the human genome.
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The other 99 per cent has conventionally
been thought of as “dark” or “junk,” although recent research has begun
to disrupt that idea. In their new finding, the research team offers a method to make sense of this
vast array of genomic data.
The system uses an AI technique called
deep learning in which an algorithm performs successive layers of
analysis to learn AZ-about patterns that would otherwise be impossible to
discern. The algorithm teaches itself how to identify biologically
relevant sections of DNA and predicts whether those snippets play a role
in any of more than 2,000 protein interactions that are known to affect
the regulation of genes.
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Labels: artificial intelligence(AI), autism, contribute, deep learning algorithms, genetic flaw
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