Powerful machine-learning algorithms, including AlphaFold and RoseTTAFold, cannot provide realistic representations of these 'disordered' and 'chaotic' protein regions as a whole.

The overall program structure is presented in Listing 1 ... The demo concludes by using the trained decision tree to make a prediction: The AdaBoost.R2 regression algorithm has not received as much ...

From a developer's point of view, the key thing to note is that there are two sets of weights used by the algorithm. The alpha weights are inference weights -- they're used to make the final ...

That is the bold claim with which quant investor Igor Tulchinsky and Cornell professor of genomics Christopher E Mason begin The Age of Prediction ... of how predictive algorithms are changing ...