In this study, a novel hybrid AI system framework is developed by means of a systematic integration of artificial neural networks (ANN) and rulebased expert system (RES) with web-b...
We develop a new framework for inferring models of transcriptional regulation. The models in this approach, which we call physical models, are constructed on the basis of verifiab...
Background: In the last decades, microarray technology has spread, leading to a dramatic increase of publicly available datasets. The first statistical tools developed were focuse...
Paolo G. V. Martini, Davide Risso, Gabriele Sales,...
Abstract: We propose an effective algorithm for power optimization in behavioral synthesis. In previous work, it has been shown that several hardware allocation/binding problems fo...
Background: The Stanford Tissue Microarray Database (TMAD) is a repository of data serving a consortium of pathologists and biomedical researchers. The tissue samples in TMAD are ...
Nigam H. Shah, Daniel L. Rubin, Inigo Espinosa, Ke...