Concept

Multi expression programming

Publications associées (11)

Development of a Robotic Microsurgeon for Embryonic Research

Understanding how biological matter takes its shape is instrumental to biology, bioengineering, medicine, and bioinspired engineering. Gaining information on the principles of morphogenesis could enable clinicians to correct developmental abnormalities, ev ...

EPFL2023

Batch Mode TD(lambda) for Controlling Partially Observable Gene Regulatory Networks

Utku Sirin

External control of gene regulatory networks (GRNs) has received much attention in recent years. The aim is to find a series of actions to apply to a gene regulation system making it avoid its diseased states. In this work, we propose a novel method for co ...

2017

Single-Cell Transcriptomics Reveals that Differentiation and Spatial Signatures Shape Epidermal and Hair Follicle Heterogeneity

Gioele La Manno, Xiaoyan Sun

The murine epidermis with its hair follicles represents an invaluable model system for tissue regeneration and stem cell research. Here we used single-cell RNA-sequencing to reveal how cellular heterogeneity of murine telogen epidermis is tuned at the tran ...

2016

Semi-Supervised Facial Animation Retargeting

Mark Pauly, Sofien Bouaziz

This paper presents a system for facial animation retargeting that al- lows learning a high-quality mapping between motion capture data and arbitrary target characters. We address one of the main chal- lenges of existing example-based retargeting methods, ...

2014

Coordinated Effects of Sequence Variation on DNA Binding, Chromatin Structure, and Transcription

Bart Deplancke, David Hacker, Sebastian Martin Waszak, Sunil Kumar Raghav, Nouria Hernandez, Gilles Udin, Alisa Yurovsky, Julien Bryois, Sarah Thurnheer

DNA sequence variation has been associated with quantitative changes in molecular phenotypes such as gene expression, but its impact on chromatin states is poorly characterized. To understand the interplay between chromatin and genetic control of gene regu ...

American Association for the Advancement of Science2013

Employing Batch Reinforcement Learning to Control Gene Regulation Without Explicitly Constructing Gene Regulatory Networks

Utku Sirin

The goal of controlling a gene regulatory network (GRN) is to generate an intervention strategy, i.e., a control policy, such that by applying the policy the system will avoid undesirable states. In this work, we propose a method to control GRNs by using B ...

AAAI Press2013

Approximating geometric crossover in semantic space

Pawel Lichocki

We propose a crossover operator that works with genetic programming trees and is approximately geometric crossover in the semantic space. By defining semantic as program's evaluation profile with respect to a set of fitness cases and constraining to a spec ...

Association for Computing Machinery2009

Relationship between estrogen receptor alpha location and gene induction reveals the importance of downstream sites and cofactors

Felix Naef, Mauro Delorenzi

BACKGROUND: To understand cancer-related modifications to transcriptional programs requires detailed knowledge about the activation of signal-transduction pathways and gene expression programs. To investigate the mechanisms of target gene regulation by hum ...

BioMed Central2009

Evolution of Spiking Neural Circuits in Autonomous Mobile Robots

Dario Floreano, Jean-Christophe Zufferey, Claudio Mattiussi

We describe evolution of spiking neural architectures to control navigation of autonomous mobile robots. Experimental results with simple fitness functions indicate that evolution can rapidly generate spiking circuits capable of navigating in textured envi ...

2006

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

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