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Building the DNA Oracle with Eeshit Vaishnav

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Building a Complete Fitness Landscape in Sequence Phase

In the past, scientists used to work on empirical fitness landscapes or experimental fitness landscapes. These approaches were strongly biased towards sequences that exist naturally. In this study, we randomly sampled from the sequence base of DNA and then measured the function corresponding to these sequences. We use deep neural networks to learn, attain them on the large random samples from the sequence spaces that we generated experimentally. And these train models are what we refer to as our oracles in system.

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