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As someone about to graduate with a PhD in biochemistry who has been programming for ~10 years and personally used CRISPR/Cas9 ... the parent comment gave me a
by shpongled 6y ago
As someone about to graduate with a PhD in biochemistry who has been programming for ~10 years and personally used CRISPR/Cas9 ... the parent comment gave me a good laugh.
That being said, I can see some applications to using ML to analyze the results of CRISPR/Cas9 screens or better predict functional editing sites - but that's not exactly exclusive to Cas9.
- hobofan 6y agoExactly what I had in mind. ML has its place in bioinformatics (and is being applied to a huge amount of sub-problems there), but it almost always is an incremental improvement for that niche rather than transforming the whole landscape.
- jcims 6y agoI'm talking precisely about what this guy worked on - https://news.ycombinator.com/item?id=23540564 https://news.ycombinator.com/item?id=23540564 ML provides predictive capabilities over large fugly datasets. CRISPR gives us the ability to test those predictions. These are both essentially commodity technologies at this point and not everyone is going to take a disciplined approach to experimentation.