Digital Signal Processing Reference
In-Depth Information
Fig. 16.8
Log-likelihood of the simplified models and computation time. All the algorithms reach
the same log-likelihood maximum with quite few components (but the one-step model centroid
needs a few more components than all the others). Model centroid based clusterings are the fastest
methods, Kullback-Leibler clustering is even slower than EM due to the computational cost of the
KL distance and centroids
16.6.2 Prediction of 3D Structures of RNA Molecules
RNA molecules play an important role in many biological processes. The understand-
ing of the functions of these molecules depends on the study of their 3D structure.
A common approach is to use knowledge-based potential built from inter-atomic dis-
tance coming from experimentally determining structures. Recent works use mixture
models [
2
] to model the distribution of the inter-atomic distances.
