Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Background: Understanding how proteins fold is essential to our quest in discovering how life works at the molecular level. Current computation power enables researchers to produc...
Hong Sun, Hakan Ferhatosmanoglu, Motonori Ota, Yus...
In this work, we consider a distributed source coding problem with a joint distortion criterion depending on the sources and the reconstruction. This includes as a special case the...
Background: In the fly Drosophila melanogaster, new genetic, physiological, molecular and behavioral techniques for the functional analysis of the brain are rapidly accumulating. ...
Arnim Jenett, Johannes E. Schindelin, Martin Heise...
Background: The development and testing of functions for the modeling of protein energetics is an important part of current research aimed at understanding protein structure and f...