Periodic neural activity not locked to the stimulus or to motor responses is usually ignored. Here, we present newtoolsformodelingandquantifyingtheinformationtransmission based on ...
The integration of diverse data sets into probabilistic functional networks is an active and important area of research in systems biology. In this paper we fracture a previously p...
Background: Accurate identification of novel, functional noncoding (nc) RNA features in genome sequence has proven more difficult than for exons. Current algorithms identify and s...
Tomas Babak, Benjamin J. Blencowe, Timothy R. Hugh...
— This paper applies a recently developed neural network called plausible neural network (PNN) to function approximation. Instead of using error correction, PNN estimates the mut...
This paper presents a simple but powerful extension of the maximum margin clustering (MMC) algorithm that optimizes multivariate performance measure specifically defined for clust...