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Exactly 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 increme
by hobofan 6y ago
Exactly 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.