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Twin Curses Plague Biomedical Data Analysis

How to deal with too many dimensions and too few samples.

Noninvasive experimental techniques, such as magnetic resonance (MR), infrared, Raman and fluorescence spectroscopy, and more recently, mass spectroscopy (proteomics) and microarrays (genomics) have...
Sep, 01, 2005
Getting It Right: Better Validation Key to Progress in Biomedical Computing

Bringing models closer to reality

When the ill-fated space shuttle Columbia launched on January 16, 2003, a large piece of foam fell off and hit the left wing. Alerted of the impact, NASA engineers used a computer model to predict...
7009, competitions, outsource, self-assessment, validation
Oct, 19, 2012
When Does Computational Validation Trump Biological Validation?
Many a successful investigator working at the interface between molecular biology, genetics and computation will recognize the imperative to obtain biological validation for computational...
Jul, 01, 2008
Error! – What Biomedical Computing Can Learn From Its Mistakes

How errors in data, software, and methodology can teach us how to do better

In 2006, a paper in Nature Medicine suggested a novel and potentially revolutionary method for predicting patient responses to cancer therapies using gene signatures. The finding piqued the interest...
publication, reproducible research, statistics, validation
Sep, 01, 2011
Microarrays: The Search For Meaning in a Vast Sea of Data

They've gone from hype to backlash. Now it's time for reality: How microarrays are being used to benefit healthcare

When DNA microarray technology emerged more than a decade ago, it was met with unbridled enthusiasm. By allowing scientists to look at the expression of enormous numbers of genes in the genome...
Oct, 01, 2006
Prototype to Release: Software Engineering for Scientific Software

Set objectives and follow through

Having engineered several scientific software applications for public consumption, the authors know from experience that the process offers unique challenges. Typically, the algorithms being...
Oct, 22, 2012
Identifying and Overcoming Skepticism about Biomedical Computing

Modelers should take the lead.

Many collaborators 1        with whom modelers2 work have little or  no training in modeling3 and so it is natural that they may be cautious,...
Jun, 05, 2012
The Golden Age of Public Databases: Speeding Biomedical Discovery

Public databases impact not only how research is done but what kind of research is done in the first place.

The setting: a scientific conference in January 2008. The speaker, Bruce Ponder, MD, PhD, an oncology professor at Cambridge University, is describing a previously unknown link between a particular...
Oct, 01, 2008
Solving the 3-D RNA Structure Puzzle with NAST
For proteins, structure information leads to an understanding of function. The same turns out to be true for ribozymes, ribosomal RNAs, and some other recently discovered RNAs. But mapping out that...
Mar, 01, 2009
COMPUTATION FOR THE BEDSIDE: Optimizing Patient Care

How some tools are already impacting patients

Medical decision-making is often more art than science, requiring physicians to exercise judgment in the face of complex factual circumstances. But now a few tools offer the opportunity to...
AIDS, bone, kidney transplant
Apr, 01, 2011
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