This data
requires computational approaches to make sense of it and theory to model it.
Not exact matches
Powerful
computational approaches and infrastructure are
required to read and compare sequences of billions of DNA base pairs.
Current
computational approaches are laborious and expensive, and
require using millions of images to train an AI system.
The
approach involves reformulating a series of equations that are used to determine a GPS receiver's position, resulting in reduced
computational effort being
required to attain centimeter accuracy.
This
requires the careful collection and measurement of many thousands of cancer samples and using novel and sophisticated
computational approaches to identify relevant groups of samples and biomarkers, integrate that vast amount of data, and visualize it in order gain new insights.
According to UC Riverside, «The
approach involves reformulating a series of equations that are used to determine a GPS receiver's position, resulting in reduced
computational effort being
required to attain centimeter accuracy.»