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
How researchers are predicting specific thoughts from brain activity
Revealing the brain’s hidden stash of pictures, thoughts, and plans has, until recently, been the work of parlor magicians. Yet within the last decade, neuroscientists have gained powerful...
Jan, 02, 2012
Watching changes over time
These days, molecular biologists often gather data over a period of time—observing shifts as they occur inside groups of cells undergoing natural changes. The researchers then face the daunting...
Jun, 01, 2010
The complexity and variability of aging itself, along with the fragmented nature of researchers’ current understanding of aging, call for tools that can help scientists dig through mounds of data to find often subtle connections.
Jeanne Louise Calment of Arles, France rode a bicycle until she was 100 years old. When she gave up smoking at age 117, her doctor suspected it was out of pride. (She couldn’t see well enough...
Apr, 01, 2008
About this issue of Biomedical Computation Review
One of the main goals of this magazine is to create and foster a sense of community among the diverse disciplines that make up biomedical computation (hence our tagline: diverse disciplines, one...
Sep, 01, 2005
Disentangling the different types of skeptics and what modelers can learn from each.
What are the telltale signs of a modeling talk at a biology conference? Just look for the sighs, shifting, and eye-rolling in the audience, says Donald C. Bolser, PhD, professor of physiological...
Jun, 05, 2012
Current methods of tracking the flu all come with a bit of a time lag—which is unfortunate when trying to monitor for potential pandemics like today’s swine flu crisis. There is a faster...
Jul, 01, 2009
A recognition of biocomputing's successes and a prediction of what's to come
The last ten years have seen huge leaps in biomedical computing. We now have new ways to integrate and understand vast quantities of data; the capacity for multi-scale biological modeling; and a...
bioinformatics tools, biomedical computing, CAD, computational modeling, data mining, disease surveillance, dynamic modeling, education, eric jakobsson, function prediction, genetic association, genome annotation, in silico screening, medical informatics, neuromodeling, prosthetics, sequence alignment, structure prediction, systems biology, systems biomedicine, telemedicine, tomography
Jun, 01, 2005
How can they help us understand proteins?
Graphs, or networks, have been widely adopted in computational biology, with examples including protein-protein interaction networks, gene regulatory networks, and residue interaction networks in...
Jun, 20, 2013
Computing using time steps -- a necessary approximation
Time flows like a continuous, steady river. And it moves forward—never back. These facts create inherent challenges for computer simulations of biological molecules in motion.
It would...
Jun, 19, 2013