[R] Completely Off Topic:Link to IOM report on use of "-omics" tests in clinical trials

Iain Gallagher iaingallagher at btopenworld.com
Mon Mar 26 23:38:56 CEST 2012

I followed this case while it was ongoing. 

It was a very interesting example of basic mistakes but also (for me) of journal politicking. 

Keith Baggerly and Kevin Coombes wrote a great paper - "DERIVING CHEMOSENSITIVITY FROM CELL LINES: FORENSIC BIOINFORMATICS AND REPRODUCIBLE RESEARCH IN HIGH-THROUGHPUT BIOLOGY" in The Annals of Applied Statistics (2009, Vol. 3, No. 4, 1309–1334) which explains some of the background and investigative work they had to do to bring those mistakes to light.



----- Original Message -----
From: Bert Gunter <gunter.berton at gene.com>
To: r-help at r-project.org
Sent: Monday, 26 March 2012, 19:12
Subject: [R] Completely Off Topic:Link to IOM report on use of "-omics" tests in clinical trials

Warning: This has little directly to do with R, although R and related
tools (e.g. sweave and other reproducible research tools) have a
natural role to play.

The IOM report:


that arose out of the Duke Univ. genomics testing scandal has been
released. My thanks to Keith Baggerly for forwarding this. I believe
that many R users in the medical research community will find this
interesting, and I hope I do not venture too far out of line by
passing on the link to readers of this list. It **will** have an
important impact on so-called Personalized Health Care (which I guess
affects all of us), and open source analytical (statistical)
methodology is a central issue.

For those interested, try the summary first.

Best to all,


Bert Gunter
Genentech Nonclinical Biostatistics

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