نتایج جستجو برای: gene expression programming

تعداد نتایج: 1911778  

Journal: :gastroenterology and hepatology from bed to bench 0
hamed kalani proteumics research center, shahid beheshti university of medical sciences, tehran, iran hosein khanahmad shahreza ahmad daryani hosein ali yousefi nader pestechian vahid mansouri

aim : to evaluate the effect of active t. gondii tachyzoites and its products on the gene expression level of ifn-yr1 and ifn-yr2 in a murine model.   background : many studies have shown that the parasite toxoplasma gondii utilizes different mechanisms to inhibit the function of ifn-?, but the parasite effect on the function of ifn-yr1 and ifn-yr2 is still unclear. patients and methods : toxop...

Journal: :basic and clinical neuroscience 0
shamseddin ahmadi shahin amiri fatemeh rafieenia jalal rostamzadeh

introduction: calcium/calmodulin-dependent protein kinase ii (camkii) is highly expressed in the hippocampus, which has a pivotal role in reward-related memories and morphine dependence. methods: in the present study, morphine tolerance was induced in male wistar rats by 7 days repeated morphine injections once daily, and then gene expression profile of α-isoform of camkii (camkiiα) in the hipp...

2016
Chan-Yi Chou Chang-Biau Yang Hung-Hsin Chen

A novel method of stock portfolio management by using technical indicators is proposed in this paper. The method hybridizes the consensus trading signals generated by the gene expression programming (GEP) proposed by Lee et al., and the portfolio redemption scheme proposed by Tsai et al. with our stock ranking functions. The indicators were used not only for trading, but also for selecting prom...

2004
Cândida Ferreira

An artificial neural network with all its elements is a rather complex structure, not easily constructed and/ or trained to perform a particular task. Consequently, several researchers used Genetic Algorithms to evolve partial aspects of neural networks, such as the weights, the thresholds, and the network architecture. Indeed, over the last decade many systems have been developed that perform ...

2006
Samuel Ashworth

We here describe an image compression algorithm that generates a set of mathematical functions capable of approximately reproducing the input image, but collectively smaller than the raw image data. These functions are created using an evolutionary algorithm, gene expression programming. When used with a 256 X 256 grayscale Lena image as input, the algorithm we developed created a compressed im...

2013
Chang-Hao Huang Chang-Biau Yang Hung-Hsin Chen

In the paper, we study the investment on Taiwan Stock Exchange Capitalization Weighted Stock Index (TAIEX), which is assumed to be tradable. We apply the gene expression programming (GEP) to mining profitable trading strategies in the training phase. GEP is a good tool for evolving formulas since the logical view of its chromosome is a tree structure and the physical implementation is a linear ...

2000
Yuh-Jyh Hu

Computer-assisted methods have become very important in analyzing biosequence data. However, most of the current methods are limited to nding motifs only. Genes can be regulated in many ways, including combinations of regulatory elements. This research is aimed at combinatorial motif analysis and hypothesis generation. A genome-wide gene expression analysis demonstrated the value of the studies...

2014
Cheng-Han Lee Chang-Biau Yang Hung-Hsin Chen

In this paper, we first find out some good trading strategies from the historical series and apply them in the future. The profitable strategies are trained out by the gene expression programming (GEP), which involves some well-known stock technical indicators as features. Our data set collects the 100 stocks with the top capital from the listed companies in the Taiwan stock market. Accordingly...

Journal: :Molecular Systems Biology 2007
Robert Sidney Cox Michael G Surette Michael B Elowitz

Promoters control the expression of genes in response to one or more transcription factors (TFs). The architecture of a promoter is the arrangement and type of binding sites within it. To understand natural genetic circuits and to design promoters for synthetic biology, it is essential to understand the relationship between promoter function and architecture. We constructed a combinatorial libr...

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