Distilling GeneChips
نویسندگان
چکیده
EDITORIAL Editorial I was not able to attend GECCO this year, but everybody told me it was as great as usual and I am sure that all the people who attended it enjoyed it a lot! I had not spent the second week of July in Milan since 2000, when I could not attend GECCO-2000 in Las Vegas. Thus, spending the GECCO week at work while all my friends were enjoying themselves in Philly, has been kind of weird. Indeed, I already checked the flights to Amsterdam and I plan to book a ticket soon. So I guess I will see you at GECCO-2013! Today, we start a brand new SIGEVOlution volume with a very nice cover and two even nicer articles. One, presents AppEco an artificial life framework that has been applied to the modelling of a very well-known ecosystem, the Apple's App Store. If you want to become a successful developer for any mobile market, you should definitively read this article. AppEco appeared in the April issue of the New Scientist (check the article here). The article published here is a reprint of the paper presented at GECCO-2012 in July, with the permission of ACM. The next paper by William B. Langdon describes an application of genetic programming to the long-term outcome prediction of breast cancer using Emerald, a supercomputer containing 1008 x86 CPU cores and 372 nVidia M2090 Tesla GPUs. That's massive parallel EC! The cover shows a graph from a study regarding the effect of app publicity using AppEco that Soo Ling and Peter recently published in ALife XIII. Consider it an appetizer of what you might want to read after you are done with the papers in this issue. the board members, Dave Davis and Martin Pelikan, and to the friends who help me in this adventure. App developers are constantly competing against each other to win more downloads for their apps. With hundreds of thousands of apps in these online stores, what strategy should a developer use to be successful? Should they innovate, make many similar apps, optimise their own apps or just copy the apps of others? Looking more deeply, how does a complex app ecosystem perform when developers choose to use different strategies? This paper investigates these questions using AppEco, the first Artificial Life model of mobile application ecosystems. In AppEco, developer agents build and upload apps to the app store; user …
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Smallpox virus resequencing GeneChips can also rapidly ascertain species status for some zoonotic non-variola orthopoxviruses.
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