Deep Learning for Population Genetic Inference with Dan Schrider - TWiML Talk #249
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Exploring Population Genetics through Machine Learning
This chapter examines the intersection of population genetics and machine learning, focusing on the analysis of genomic data to understand evolutionary events. It highlights advancements in computational techniques, such as convolutional neural networks, for identifying patterns and adaptive signatures in genetic sequences. Furthermore, the discussion addresses the complexities of data collection and the importance of accurate simulations to enhance evolutionary inferences.
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