Many automated learning procedures lack interpretability, operating effectively as a black box: providing a prediction tool but no explanation of the underlying dynamics that driv...
A widely acknowledged drawback of many statistical modelling techniques, commonly used in machine learning, is that the resulting model is extremely difficult to interpret. A numb...
Protein loop structure modeling is regarded as a mini protein folding problem with significant scientific importance. Efficiently sampling the loop conformation space is a key step...
Background: The secondary structure of an RNA must be known before the relationship between its structure and function can be determined. One way to predict the secondary structur...