Adam C. Siepel

Adam Siepel in 2009. Adam C. Siepel (born 1972) is an American computational biologist known for his research in comparative genomics and population genetics, particularly the development of statistical methods and software tools for identifying evolutionarily conserved sequences. Siepel is currently Chair of the Simons Center for Quantitative Biology and Professor in the Watson School for Biological Sciences at Cold Spring Harbor Laboratory. Provided by Wikipedia
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    Domain-adaptive neural networks improve supervised machine learning based on simulated population genetic data.

    Domain-adaptive neural networks improve supervised machine learning based on simulated population genetic data. by Ziyi Mo, Adam Siepel

    Published 2023-11-01
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