We present a unique FPGA that uses a mix of digital and large-signal analog computation for the simulation of gene regulatory networks. The prototype IC consists of a 4x5 array of...
Ilias Tagkopoulos, Charles A. Zukowski, German Cav...
Background: The multitude of motif detection algorithms developed to date have largely focused on the detection of patterns in primary sequence. Since sequence-dependent DNA struc...
Background: The learning of global genetic regulatory networks from expression data is a severely under-constrained problem that is aided by reducing the dimensionality of the sea...
Background: Expression profiles obtained from multiple perturbation experiments are increasingly used to reconstruct transcriptional regulatory networks, from well studied, simple...
Philippe Veber, Carito Guziolowski, Michel Le Borg...
This paper examines how methods inspired by biological processes can be applied to the design of large-scale environment-aware sensor networks. Our ultimate goal are systems conta...