Article
Emergent populations derived with unsupervised learning of human whole genomes
2018-06-18
Abstract excerpt
Artificial intelligence (AI) holds great promise to precisely classify human ancestry and the genetic causes of complex diseases. I have constructed an unsupervised machine learning paradigm that examines the whole genome as a hyper-dense, nonlinear, multidimensional feature space. The AI system culminates in 26 neural network neurons each sensitive to a specific heritage that can identify an individual’s componen...
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Identifiers and source
- Literature Corpus work
- 5b992078-8206-5c00-92ae-bbe765bbbc2c
- DOI
- 10.1101/329789
