Many processes in the cell involve interaction among the proteins and determination of the networks of such interactions is of immense importance towards the complete understanding...
Mudassar Iqbal, Alex Alves Freitas, Colin G. Johns...
In this paper, we develop the continuous time dynamic topic model (cDTM). The cDTM is a dynamic topic model that uses Brownian motion to model the latent topics through a sequenti...
We explore a stacked framework for learning to predict dependency structures for natural language sentences. A typical approach in graph-based dependency parsing has been to assum...
Background: Modelling the time-related behaviour of biological systems is essential for understanding their dynamic responses to perturbations. In metabolic profiling studies, the...
Mattias Rantalainen, Olivier Cloarec, Timothy M. D...
Background: Detecting conserved noncoding sequences (CNSs) across species highlights the functional elements. Alignment procedures combined with computational prediction of transc...
Hisakazu Iwama, Yukio Hori, Kensuke Matsumoto, Koj...