Concept

Gene expression programming

Publications associées (60)

Evolutionary dynamics of coding and non-coding transcriptomes

Gene expression changes may underlie much of phenotypic evolution. The development of high-throughput RNA sequencing protocols has opened the door to unprecedented large-scale and cross-species transcriptome comparisons by allowing accurate and sensitive a ...

Nature Publishing Group2014

Inferring the Evolutionary History of Primate microRNA Binding Sites: Overcoming Motif Counting Biases

Jeffrey David Jensen, Feng Gao

The first microRNAs (miRNAs) were identified as essential, conserved regulators of gene expression, targeting the same genes across nearly all bilaterians. However, there are also prominent examples of conserved miRNAs whose functions appear to have shifte ...

Oxford Univ Press2014

Development of plasmid-based expression technology for rapid and sustained production of recombinant proteins in insect cells

Xiao Shen

Due to the high demand for heterogeneous protein production in insect cells, we have established efficient methods for plasmid-based transient gene expression (TGE) in various insect cell lines, including commonly used Spodoptera cell lines Sf9 and HighFiv ...

EPFL2014

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

Model-based Sketching and Recovery with Expanders

Volkan Cevher, Luca Baldassarre, Bubacarr Bah

Linear sketching and recovery of sparse vectors with randomly constructed sparse matrices has numerous applications in several areas, including compressive sensing, data stream computing, graph sketching, and combinatorial group testing. This paper conside ...

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

Rounding Up Natural Gene Expression Variation during Development

Bart Deplancke, Sebastian Martin Waszak

Molecular insights into the genetic control of development have been mainly derived from single gene mutant studies. Francesconi and Lehner (2013) report now in Nature a genome-wide map of natural sequence variants that affect the temporal expression dynam ...

Elsevier2013

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

On Repairing Ill-Typed Expressions

Tihomir Gvero, Ivan Kuraj, Ruzica Piskac

When developing code, a programmer typically knows the approximate structure of the desired expression. However, often the first attempt at writing it down results in an ill-typed code fragment. We propose an approach that automatically repairs code expres ...

2013

Structural Identification of Unate-Like Genetic Network Models from Time-Lapse Protein Concentration Measurements

Giancarlo Ferrari Trecate

We consider the problem of learning dynamical models of genetic regulatory networks from time-lapse measurements of gene expression. In our previous work [Porreca et al,Bioinformatics,2010], we described a method for the structural and parametric identific ...

2010

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