That's basically the plot of "Satanic Verses" (the part about the puppet, not the AI).

Once you've done all this you can come back and use my info-theoretic tool, which will just extract the information. But you need to know information about *what* (i.e., annotated phenotype). That tool (IDSeq) does it better than any ML tool in existence, here or anywhere else in the universe.

But you can actually binarize the byte, and you can do the same with your abundances (turns out the organism only cares about high/low info). Here, the ten classes (numbers) will be immediately apparent, but if you know the phenotype on a subset, you can use that for training.

Here's a description of dimensionality reduction techniques for hand-written images. The images are both simpler and more complex than the microbiome: there are 782 "abundances", but each has a range of one byte. colah.github.io/posts/2014-1...

How many biomes? What do you want to predict if you knew the patterns?

Approximate cloning is totally allowed.

I have been complaining about this many times. I try to submit to journals with active editors (who are involved in the decision making and don’t just count balls and strikes). But with varying success.

This is because pain is a construct of our brain. A pain signal and a pleasure signal (say) look the same as far as the spike train goes. So you can do this if you can simulate the brain. Good luck with that.

Ummm.

In the old German script the “ss” looks like “ff”

In case you were wondering...

That's been on my favorite list on YouTube for a while now!

I think the point here is that these proteins do not carry out any function. If they were important than of course mutations to functionally important residues would matter. But these proteins do nothing at all. Yet, when mutated some mutations impair fitness.

The authors offer no clues. They used YFP, and some mutations appear to impair fitness, but not the ones that lead to misfolding. It's a mystery! It's like there is toxicity, but not due to what we usually assume (misfolded proteins).