Computational feat speeds finding of genes to milliseconds instead of years

Here is the paper: <a href="http://www.pnas.org/content/107/13/5732.long" rel="nofollow">http://www.pnas.org/content/107/13/5732.long</a>

So in terms of curing cancer... where does this get us? (i'm not being sarcastic. it sounds very promising but I don't know enough on the topic to judge how significant it is)

With this kind of thing, the devil is always in the details. He's looking for genes whose expression levels correlate with those of genes known to be involved in the process of interest. This is not a new idea. The trouble is that spurious correlations can arise in all kinds of surprising ways, and swamp the interesting ones.

What's the computational technique used for this?

I started off thinking it was another gpgpu application but the theory of boolean implications is something new to learn. thanks for the article.

Before clicking on this, I jokingly thought to myself "let me guess, this is yet another NoSQL is better than ___ article"