How to deal with too many dimensions and too few samples.
Defining biomedical computation
Advances in computational modeling of viral epidemics and viruses themselves produce some speedy results
An exploration of data-driven and process-driven approaches to data privacy
A myriad of environmental changes inspire only a handful of responses
A combination of genomics data and molecular dynamics modeling is sufficient to predict protein complex structure
Cost-effectiveness studies yield answers to the complex question of whether clinical genomics testing has value.
How errors in data, software, and methodology can teach us how to do better
To understand biology—and provide appropriate medical care—scientists need to understand interactions across multiple scales. Hence the Physiome.