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A machine learning algorithm with subclonal sensitivity reveals widespread pan-cancer human leukocyte antigen loss of heterozygosity

Medicine and Health

A machine learning algorithm with subclonal sensitivity reveals widespread pan-cancer human leukocyte antigen loss of heterozygosity

R. M. Pyke, D. Mellacheruvu, et al.

Discover how Rachel Marty Pyke and colleagues at Personalis, Inc developed DASH, a groundbreaking machine learning algorithm that outperforms existing tools in detecting human leukocyte antigen loss of heterozygosity (HLA LOH) from tumor-normal sequencing data. This innovative approach, validated by digital PCR, suggests a significant correlation between HLA LOH and immune resistance strategies in cancer patients.

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