linkstream2 microblog

Balanced perspective on history and future of genomic medicine by Jay Shendure https://www.cell.com/cell/fulltext/S0092-8674(19)30152-7

After @pmarca’s classic 2011 essay “Why Software is Eating the World,” Cohen & @MatthewGranade now posit that “Models Will Run the World” https://www.WSJ.com/articles/models-will-run-the-world-1534716720 Illustrates the transition from computer science to #DataScience HT @WillMeyerson

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The software revolution has transformed business. What’s next? Processes that constantly improve themselves without need of human intervention.

By Steven A. Cohen and Matthew W. Granade
Aug. 19, 2018 6:12 p.m. ET

Marc Andreessen’s essay “Why Software is Eating the World” appeared in this newspaper Aug. 20, 2011. Mr. Andreessen’s analysis was prescient. The companies he identified—Netflix, Amazon, Spotify—did eat their industries. Newer software companies—Didi, Airbnb, Stripe—are also at the table, digging in.
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A nice commentary on the role of data science in industry.

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Peerage of Science is a free, portable peer review service that gives initial feedback on manuscripts within 2-3 weeks of submission (and then final feedback after resubmission). Some journals have stated that they officially welcome reviews from Peerage of Science, including BMC Genomics, PLOS Biology, and PLOS One, although they reserve the right to conduct their own round of peer reviews in addition.
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https://www.peerageofscience.org/how-it-works/
https://www.peerageofscience.org/how-it-works/overview/
https://www.peerageofscience.org/review/review-examples/

R/Medicine 2018
http://r-medicine.com
About. The goal of the R/Medicine conference is to promote the use of the R programming environment and the R ecosystem in medical research and clinical practice.

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"Wikipedia is one of the world’s most popular websites, but scientists rarely cite it in their papers. Despite this, the online encyclopedia seems to be shaping the language that researchers use in papers, according to an experiment showing that words and phrases in recently published Wikipedia articles subsequently appeared more frequently in scientific papers"
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“Thompson and co-author Douglas Hanley, an economist at the University of Pittsburgh in Pennsylvania, commissioned PhD students to write 43 chemistry articles on topics that weren’t yet on Wikipedia. In January 2015, they published a randomized set of half of the articles to the site. The other half, which served as control articles, weren’t uploaded.
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Using text-mining techniques to measure the frequency of words, they found that the language in the scientific papers drifted over the study period as new terms were introduced into the field. This natural drift equated to roughly one new term for every 250 words, Thompson told Nature. On top of those natural changes in language over time, the authors found that, on average, another 1 in every 300 words in a scientific paper was influenced by language in the Wikipedia article.”

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#Wikipedia shapes lang. in science https://www.Nature.com/news/wikipedia-shapes-language-in-science-papers-1.22656 Seeding it with new pages & watching them evolve (v ctrls) as a type of soc. expt

https://en.wikipedia.org/wiki/Micromort

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A micromort (from micro- and mortality) is a unit of risk defined as one-in-a-million chance of death.[1][2]
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