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Showing posts from February, 2026

AAV-ML for Experimentalists #2: ML That Scores Your Variants

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  TL;DR  Predictive AI is  a prioritization tool. It helps you decide what's worth testing.  

AAV-ML for Experimentalists #1: ML That Proposes New Sequences

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TL;DR  Generative AI is a tool that proposes new AAV sequences based on patterns it learned from relevant data.

When You Only Have 1,000 Potential Hits

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TL;DR  When you only have ~1,000 functional hits, your generative model architecture matters more than your dataset size. Autoregressive models learn dependencies position-by-position; a stronger inductive bias that works where VAEs and diffusion models fail.