Understanding the hierarchical relationships among biochemical, metabolic, and physiological systems in the mapping between genotype and phenotype is expected to improve the diagno...
A neural network model of associative memory is presented which unifies the two historically more relevant enhancements to the basic Little-Hopfield discrete model: the graded resp...
Enrique Carlos Segura Meccia, Roberto P. J. Perazz...
Identifying intrinsic structures in large networks is a fundamental problem in many fields, such as engineering, social science and biology. In this paper, we are concerned with c...
Most existing approaches for gene selection are based on evaluating the statistical relevance. However, there are remarkable discrepancies between statistical relevance and biolog...
Background: The biological information in genomic expression data can be understood, and computationally extracted, in the context of systems of interacting molecules. The automat...
Bruz Marzolf, Eric W. Deutsch, Patrick Moss, David...