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eSMC: a statistical model to infer admixture events from individual genomics data.

Yonghui WangZicheng ZhaoXinyao MiaoYinan WangXiaobo QianLingxi ChenChangfa WangShuaicheng Li
Published in: BMC genomics (2022)
Our eSMC effectively infers the time of the most recent admixture event in history from a single individual's genomics data. The source code of eSMC is hosted at https://github.com/zachary-zzc/eSMC .
Keyphrases
  • electronic health record
  • single cell
  • big data
  • machine learning
  • data analysis
  • artificial intelligence