Concept

Gene expression programming

Publications associées (60)

Principled Detection-by-classification from Multiple Views

Pascal Fua, François Fleuret, Jérôme Berclaz

Machine-learning based classification techniques have been shown to be effective at detecting objects in com- plex scenes. However, the final results are often obtained from the alarms produced by the classifiers through a post-processing which typically r ...

2008

Bio-mimetic Evolutionary Reverse Engineering of Genetic Regulatory Networks

Dario Floreano, Claudio Mattiussi, Daniel Marbach

The effective reverse engineering of biochemical networks is one of the great challenges of systems biology. The contribution of this paper is two-fold: 1) We introduce a new method for reverse engineering genetic regulatory networks from gene expression d ...

Springer-Verlag Berlin2007

Parameter identification for stochastic hybrid models of biological interaction networks

Giancarlo Ferrari Trecate

Based on a model of subtilin production by Bacillus subtilis, in this paper we discuss the parameter identification of stochastic hybrid dynamics that are typically found in biological regulatory networks. In accordance with the structure of the model, ide ...

2007

Evolutionary morphogenesis for multi-cellular systems

Dario Floreano, Daniel Roggen, Diego Federici

With a gene required for each phenotypic trait, direct genetic encodings may show poor scalability to increasing phenotype length. Developmental systems may alleviate this problem by providing more efficient indirect genotype to phenotype mappings. A novel ...

2007

Bioimaging and Functional Genomics

Giovanni De Micheli, Luca Benini

For better understanding of genetic mechanisms underlying clinical observations, it is interesting to determine which genes and clinical traits are interrelated. In the last few years a consistent amount of research in genomics has been done concerning cor ...

2006

Sparse Approximation by Linear Programming: Measuring the Error with the $ell_1$ Norm

Pierre Vandergheynst, Lorenzo Granai

In this report we study the problem of sparse signal approximation over redundant dictionaries. We focus our attention on the minimization of a cost function where the error is measured using a l1 norm. We show a constructive equivalence between this minim ...

2005

Data reconciliation and sampling protocol design, case of a paper deinking process

François Maréchal, Georges Heyen, David Brown

An equation solver data reconciliation software has been used to build a validated model of a waste paper deinking mill, by combining control room measurements and process design specifications. An optimal sampling protocol to validate the model by using o ...

2004

Hardware morphogenetic developmental system

Dario Floreano, Daniel Roggen

Indirect genotype to phenotype mappings in the form of developmental systems may allow better scalability to larger phenotypes in evolvable hardware. This report reviews developmental systems used in evolvable hardware and it proposes a new classifications ...

2004

Algorithm for Spline-Based Elastic Registration in Application to Confocal Images of Gene Expression

Michaël Unser, Philippe Thévenaz

We perform elastic registration by an algorithm based on a pixelwise and regularized optimization criterion. We express the deformation field thanks to B-splines, which allows us to deal with a rich variety of deformations. The algorithm is able to handle ...

IAPR2004

Application of Data Reconciliation to the Simulation of System Closure Options in a Paper Deinking Process

François Maréchal, Georges Heyen, David Brown

An equation solver data reconciliation software has been used to build a validated model of a waste paper deinking plant, by combining control rooms measurements and design specifications. An optimal sensor system configuration that allows validating key p ...

2003

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