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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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Blob An Image Registration Technique To Enhance PCB Inspe...

Created: 2012-05-11 01:56:19

Credits: User Mohd Saberi

License: Creative Commons Attribution-Share Alike 3.0 Unported License

 is well k*atm that renl PCB inuge inipieetio* bwal 0n rclerential ap: proaches foces misalignment problems in detecting delects betwecn a template imoge arul a ilefectiae image. Hence, o reliable image registrtion techniqre is needed to aligt, these two irnages per{utly. Henre, a rqistrution trch*irye uhich inaryorvtes affme trcnsformotion anil bi-cubic interynlation has been prcposed. Etperimental rcsults haae shown that this regishation techniqte is suitoble to be employei to obt...

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Blob A Two-Step Binary Particle Swarm Optimization Approa...

Created: 2012-05-11 01:52:33 | Last updated: 2012-05-11 01:52:34

Credits: User Mohd Saberi

License: Creative Commons Attribution-Share Alike 3.0 Unported License

 Manipitetibn of wdre itzing, buffer sizing, and futffer inseriiai atu a few techniques that con be used to i,mproae tfune d,eloy 'in aery lorge su,le intqrction (VLSI) circuit routing- Thi* paper enhances an eri,sting approach, which is based on Particl,e Swarrn Optimization (PSO) fur sofuing rcuting poblem in VLil circaits. A hoo-step Binary Particle Swarm Optimizatdon (BPSO) apprcach, which is based on BPSO, is chosen in thi^s stuily to improue time ilelay through finding the bes...

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Blob A Study of Network-based Approach for Cancer Classif...

Created: 2012-05-11 01:49:20 | Last updated: 2012-05-11 01:49:21

Credits: User Mohd Saberi

License: Creative Commons Attribution-Share Alike 3.0 Unported License

 The advent of high-throughput techniques such as microarray data enabled researchers to elucidate process in a cell that fruitfully useful for pathological and medical. For such opportunities, microarray gene expression data have been explored and applied for various types of studies e.g. gene association, gene classification and construction of gene network. Unfortunately, since gene expression data naturally have a few of samples and thousands of genes, this leads to a biologi...

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Blob A Parallelizing Interface for K-Means Type Clusterin...

Created: 2012-05-11 01:46:24

Credits: User Mohd Saberi

License: Creative Commons Attribution-Share Alike 3.0 Unported License

 The k-means clustering algorithm and neural network batch training becomes computationally intensive when the manipulated data is large. One way to reduce the computational demand of such techniques is to execute them in a concurrent manner. Unfortunately, the effort required to implement these techniques in a distributed computing environment remains daunting. Much of the work takes place when partitioning and distributing workloads over processors in the distributed computing environm...

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Blob A New Hybrid Firefly Algorithm for Complex and Nonli...

Created: 2012-05-11 01:44:17 | Last updated: 2012-05-11 01:44:18

Credits: User Mohd Saberi

License: Creative Commons Attribution-Share Alike 3.0 Unported License

 Global optimization methods play an important role to solve many real-world problems. However, the implementation of single methods is excessively preventive for high dimensionality and nonlinear problems, especially in term of the accuracy of finding best solutions and convergence speed performance. In recent years, hybrid optimization methods have shown potential achievements to overcome such challenges. In this paper, a new hybrid optimization method called Hybrid Evolutionary ...

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Blob A Hybrid of SVM and SCAD with Group-specific Tuning ...

Created: 2012-05-11 01:39:36

Credits: User Mohd Saberi

License: Creative Commons Attribution-Share Alike 3.0 Unported License

 The incorporation of pathway data into the microarray analysis had lead to a new era in advance understanding of biological processes. However, this advancement is limited by the two issues in quality of pathway data. First, the pathway data are usually made from the biological context free, when it comes to a specific cellular process (e.g. lung cancer development), it can be that only several genes within pathways are responsible for the corresponding cellular process. Second, p...

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RapidMiner
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3682?size=60x60 Hr Matija Piskorec

Workflow Calibration for execution time extension (1)

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 Benchmark workflow that loops Naive Bayes operator many times and provides estimate of the system's overall performance.

Created: 2012-05-10 | Last updated: 2012-05-10

Taverna 2
Uploader
9?size=60x60 Gb Stian Soiland-Reyes

Workflow Extract DEC and RA from whitespace separat... (2)

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This workflow extracts DEC and RA coordinates from a whitespace seperated file and this is a silly description.

Created: 2012-05-10 | Last updated: 2012-09-24

Credits: User Stian Soiland-Reyes

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Blob ir

Created: 2012-05-10 13:55:41

Credits: User Momo66323

License: Creative Commons Attribution-Share Alike 3.0 Unported License

 it test

File type: PowerPoint 2007 presentation

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2615?size=60x60 Hr Ninoaf
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Blob Dataset for Simple RS Web Service

Created: 2012-05-10 12:01:26 | Last updated: 2012-05-10 12:01:27

Credits: User Ninoaf

License: Creative Commons Attribution-Share Alike 3.0 Unported License

 This is the dataset that is used by process: http://www.myexperiment.org/workflows/2901.html  

File type: Trident (Package)

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RapidMiner
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2615?size=60x60 Hr Ninoaf

Workflow Simple Recommender System Web Service (1)

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 This workflow takes macro value of user request and computes top-n recommendations from already learned model on train set. Macro value is transformed to example set with the appropriate \textit{user identification} role within \textit{ProcessInput} subprocess operator.   Simple recommendation web service workflow takes three inputs: \begin{enumerate} \item Macro value \textit{user} - identification number of user request \item Train set from RM repository \item Learned Mo...

Created: 2012-05-10 | Last updated: 2012-05-10

Taverna 2
Uploader
3505?size=60x60 At Markus Plangg

Workflow Simple image migration (1)

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Then starts a migration action on an image and extracts properties from the original and migrated image. The properties are compared and a QA algorithms is started on the image data itself .

Created: 2012-05-08 | Last updated: 2012-05-08

Credits: User Markus Plangg

Taverna 2
Uploader
9?size=60x60 Gb Stian Soiland-Reyes

Workflow Find workflow ancestors (2)

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Given a t2flow file (Taverna 2 workflow), extract ancestor workflow UUIDs and search myExperiment for matching workflow entries. Note that this will also match the workflow itself and nested workflows, but does not match against other workflows having the same ancestors (but newer UUIDs).

Created: 2012-05-08 | Last updated: 2012-07-09

Credits: User Stian Soiland-Reyes

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