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.


Best

iain



----- Original Message -----
From: Bert Gunter <gunter.ber...@gene.com>
To: r-help@r-project.org
Cc: 
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:

http://www.iom.edu/Reports/2012/Evolution-of-Translational-Omics.aspx

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


-- 

Bert Gunter
Genentech Nonclinical Biostatistics

Internal Contact Info:
Phone: 467-7374
Website:
http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm

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