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Home » Tools & Technology » Informatics » CHOP Team Develops Computational Model to Predict Effects of Alternative Splicing

CHOP Team Develops Computational Model to Predict Effects of Alternative Splicing

Apr 05, 2019
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Uduak Grace Thomas
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NEW YORK (GenomeWeb) — Researchers from Children's Hospital of Philadelphia (CHOP) have developed a computational tool that uses deep-learning techniques to detect the different ways RNA is spliced when it is copied from DNA.

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