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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Encoding Genetic Data: Bridging the Gap with Machine Learning
This chapter explores the use of one-hot encoding for biallelic sites in genetic sequence analysis, illustrating how binary values enhance research on selective sweeps. It also addresses the existing challenges in merging machine learning methodologies with population genetics, calling for innovative approaches and experimentation in neural network applications.
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