In the recent past, several researchers have shown that important variables in relearning motor skills and in changing the underlying neural architecture after stroke are the quant...
Silvestro Micera, Maria Chiara Carrozza, Eugenio G...
Background: Clustering is a key step in the analysis of gene expression data, and in fact, many classical clustering algorithms are used, or more innovative ones have been designe...
With continued scaling into the sub-90nm regime, the role of process, voltage and temperature (PVT) variations on the performance of VLSI circuits has become extremely important. T...
Sanjay V. Kumar, Chris H. Kim, Sachin S. Sapatneka...
Background: Computational gene prediction continues to be an important problem, especially for genomes with little experimental data. Results: I introduce the SNAP gene finder whi...
The utility of optical tomography as a practical imaging modality has, thus far, been limited by its intrinsically low spatial resolution and quantitative accuracy. Recently, we ha...