Using machine-learning to find mutations in similar genome sequences of cancer samples

A team of researchers working at the Francis Crick Institute has developed a way to find mutations in similar genome regions of cancer samples. In their paper published in the journal Nature Biotechnology, the group describes using a machine-learning algorithm to spot cancerous mutations in non-unique parts of the genome.

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