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Blob Identifying Gene Knockout Strategies Using a Hybrid ...

Created: 2012-05-11 02:16:43

Credits: User Mohd Saberi

License: Creative Commons Attribution-Share Alike 3.0 Unported License

 Genome-scale metabolic networks reconstructions from different organisms have become popular in recent years. Genetic engineering is proven to be able to obtain the desirable phenotypes. Optimization algorithms are implemented in previous works to identify the effects of gene knockout on the results. However, the previous works face the problem of falling into local minima. Thus, a hybrid of Bees Algorithm and Flux Balance Analysis (BAFBA) is proposed in this paper to solve the lo...

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Blob Identifying Gene Knockout Strategies Using a Hybrid ...

Created: 2012-05-11 02:15:08 | Last updated: 2012-05-11 02:15:09

Credits: User Mohd Saberi

License: Creative Commons Attribution-Share Alike 3.0 Unported License

 Genome-scale metabolic networks reconstructions from different organisms have become popular in recent years. Genetic engineering is proven to be able to obtain the desirable phenotypes. Optimization algorithms are implemented in previous works to identify the effects of gene knockout on the results. However, the previous works face the problem of falling into local minima. Thus, a hybrid of Bees Algorithm and Flux Balance Analysis (BAFBA) is proposed in this paper to solve the lo...

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Blob Genetic Algorithms Wrapper Approach to Select Inform...

Created: 2012-05-11 02:13:44

Credits: User Mohd Saberi

License: Creative Commons Attribution-Share Alike 3.0 Unported License

 Constantly improving gene expression technology offer the ability to measure the expression levels of thousand of genes in parallel. Gene expression data is expected to significantly aid in the development of efficient cancer diagnosis and classification platforms. Key issues that need to be addressed under such circumstances are the efficient selection of minimum number of genes that contribute to a disease from the thousands of genes measured on microarrays that are inherently noisy. ...

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Blob Feature Selection Method Using Genetic Algorithm for...

Created: 2012-05-11 02:10:56

Credits: User Mohd Saberi

License: Creative Commons Attribution-Share Alike 3.0 Unported License

 Practical pattern classification problems require selection of a subset of attributes or features to represent the patterns to be classified. The feature selection process is very important which selects the informative features for used classification process. This is due to the fact that performance of the classifier is sensitive to the choice of the features used to construct the good classifier from small or high dimension data that are inherently noisy. In this paper, we propose an...

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Blob Distributed Data Partitioning Interface for Homogene...

Created: 2012-05-11 02:09:31

Credits: User Mohd Saberi

License: Creative Commons Attribution-Share Alike 3.0 Unported License

 The effort required to write efficient parallel programmes or to parallelize existing sequential algorithms remains daunting. This is true even for regularly structured problems. Much of the work takes place when partitioning and distributing workloads over processors in a distributed computing environment. To alleviate this task, we present a data parallel interface called Distributed Data Partitioning Interface (DDPI). Its simple interface permits parallel implementation even by users...

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Blob Bioinformatics: A Tool for Bio-Knowledge Generation ...

Created: 2012-05-11 02:08:16

Credits: User Mohd Saberi

License: Creative Commons Attribution-Share Alike 3.0 Unported License

 With the knowledge-based economy (KBE) emerging as a new paradigm, it becomes important that economic actors acquire new knowledge and technology. This will stimulate innovation and contribute further growth and development. In the knowledge-based economy, it is not tangible capital but intangible and innovations that determine international competitiveness, productivity growth and worker’s status in the labour market. This intangible capital and innovation are supplied by knowled...

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Blob Automation of DNA Computing Readout Method Based on ...

Created: 2012-05-11 02:05:16

Credits: User Mohd Saberi

License: Creative Commons Attribution-Share Alike 3.0 Unported License

 Preaiausly, an eutornatian of a DNA mmputing rcodad methd far the HamiJtoni,an Path Prcblen (EPP) hos been implementd bosed on, LightCgcler Sgstem. In this stud,y, a simiJar reoilmrt approach is implemented baseil on DNA Engine Opticon 2 System. The rcadott appmaeh consists of tuo steps: rcnl-time arnplification in vitro us'i,ng TaqMowbaseil rcal-time PCR, followed by on in sili,co phase. The in silico phase consists of a d,ata clwtering algorithm and an information processing to e...

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Blob Applying Filter Approach and Genetic Algorithm Wrapp...

Created: 2012-05-11 02:02:28

Credits: User Mohd Saberi

License: Creative Commons Attribution-Share Alike 3.0 Unported License

 Gene expression microarray data is expected to significantly aid in the development of efficient cancer diagnosis and classification platforms. One problem arising from this data is how to select a small subset of genes from thousands of genes and much fewer samples that are inherently noisy. This research deals with finding a small subset of informative genes from the gene expression data which maximize the classification accuracy and minimize the running time. This paper proposed a mo...

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Blob An Iterative GASVM-Based Method: Gene Selection and ...

Created: 2012-05-11 02:00:37

Credits: User Mohd Saberi

License: Creative Commons Attribution-Share Alike 3.0 Unported License

 Microarray technology has provided biologists with the ability to measure the expression levels of thousands of genes in a single experiment. One of the urgent issues in the use of microarray data is the selection of a smaller subset of genes from the thousands of genes in the data that contributes to a disease. This selection process is difficult due to many irrelevant genes, noisy genes, and the availability of the small number of samples compared to the huge number of genes (hi...

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Blob An Improved Binary Particle Swarm Optimisation for G...

Created: 2012-05-11 01:58:19

Credits: User Mohd Saberi

License: Creative Commons Attribution-Share Alike 3.0 Unported License

 The application of microarray data for cancer classification has recently gained in popularity. The main problem that needs to be addressed is the selection of a smaller subset of genes from the thousands of genes in the data that contributes to a disease. This selection process is difficult because of the availability of the small number of samples compared to the huge number of genes, many irrelevant genes, and noisy genes. Therefore, this paper proposes an improved binary parti...

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