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2615?size=60x60 Hr Ninoaf
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Blob Dataset for workflow: "TextualAttributeExtraction fo...

Created: 2012-06-03 19:47:32 | Last updated: 2012-06-04 08:37:05

Credits: User Ninoaf

License: Creative Commons Attribution-Share Alike 3.0 Unported License

 This dataset is used as an input in the workflow: http://www.myexperiment.org/workflows/2932.html   This dataset is taken from "VideoLectures.Net Recommender System Challenge" Cite as: N. Antulov-Fantulin, M. Bošnjak, T. Šmuc, M. Jermol, M. Žnidaršič, M. Grčar, P. Keše, N. Lavrač, ECML/PKDD 2011 - Discovery challenge: "VideoLectures.Net Recommender System Challenge", http://lis.irb.hr/challenge/ and   N. Antulov-F...

File type: application/x-zip-compressed

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71?size=60x60 Nl Katy Wolstencroft
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Blob Getting Started with Taverna - an NGS tutorial

Created: 2012-05-23 14:53:24 | Last updated: 2012-05-30 08:48:19

Credits: User Katy Wolstencroft

License: Creative Commons Attribution-Share Alike 3.0 Unported License

This tutorial is an introduction to using Taverna, using an example from Chip-Seq analysis

File type: PowerPoint presentation

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3840?size=60x60 Hr Matej Mihelčić
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Blob MovieLens data for hybrid recommenders

Created: 2012-05-17 11:04:57 | Last updated: 2012-05-17 11:06:10

Credits: User tomS

License: Creative Commons Attribution-Share Alike 3.0 Unported License

 This is MovieLens data set containing user,item, ratings and item attributes enabling hybrid recommendation system testing. 

File type: Trident (Package)

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Avatar My Mohd Saberi
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Blob Prediction of Protein Residue Contact Using Support ...

Created: 2012-05-11 02:44:49

Credits: User Mohd Saberi

License: Creative Commons Attribution-Share Alike 3.0 Unported License

 Prediction of protein residue contact is one of the important two-dimensional prediction tasks in protein structure prediction. The residue contact map of protein contains information which represents three-dimensional conformation of protein. However the accuracy of the prediction is dependent on the type of protein information used to distinguish between contacts or noncontacts. According to CASP (Critical Assessment of Techniques of Protein Structure Prediction) the accuracy o...

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Blob Predicting Protein Secondary Structure with Neural N...

Created: 2012-05-11 02:34:20

Credits: User Mohd Saberi

License: Creative Commons Attribution-Share Alike 3.0 Unported License

 Protein secondary structure prediction has benefited largely from the improvements in machine learning techniques. A novel neural network classifier based on the Dempster-Shafer theory has been introduced by Denoeux. It demonstrated favourable performance in some artificial and real world problems when compared against methods such as Support Vector Machines and Kernel Fisher Discriminants. However, it has not been used for protein secondary structure prediction. In this work, we examin...

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Blob Pathway-Based Microarray Analysis for Defining Stati...

Created: 2012-05-11 02:33:00

Credits: User Mohd Saberi

License: Creative Commons Attribution-Share Alike 3.0 Unported License

 In this reiew, we have discussed about approaches in pathway based microarray analysis. Commonly, there are two approaches in pathway based analysis, Enrichment Score and Supervised Machine Learning. These pathway based approaches usually aim to statistically define significant pathways that related to phenotypes of interest. Firstly we discussed an overview of pathway based microarray analysis and its general flow processes in scoring the pathways, the methods applied in both a...

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Blob Parameter Estimation for Simulation of Glycolysis Pa...

Created: 2012-05-11 02:28:43 | Last updated: 2012-05-11 02:28:44

Credits: User Mohd Saberi

License: Creative Commons Attribution-Share Alike 3.0 Unported License

 An improved differential evolution (DE) algorithm is proposed in this paper to optimize its performance in estimating the germane parameters for metabolic pathway data which is used to simulate glycolysis pathway for Satcharomyces cerevisiae. This study presents an improved algorithm of parameter sensitivity test into the process of DE algorithm. The result of the improved algorithm is testified to be better than the other estimation algorithms. The outcomes from this study promot...

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Blob Optimized Local Protein Structure with Support Vecto...

Created: 2012-05-11 02:27:24

Credits: User Mohd Saberi

License: Creative Commons Attribution-Share Alike 3.0 Unported License

 Protein includes many substances, such as enzymes, hormones and antibodies that are necessary for the organisms. Living cells are controlled by proteins and genes that interact 1fo1sngh complex molecular pathways to achieve a specific function. These proteins have different shapes and structures which distinct them from each other. By having unique structures, only proteins able to carried out their function efficiently. Therefore, determination of protein structure is fundamental...

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Blob One-Class Classifier to Predict Protein-Protein Inte...

Created: 2012-05-11 02:25:30

Credits: User Mohd Saberi

License: Creative Commons Attribution-Share Alike 3.0 Unported License

 Protein-protein interactions are important in a wide range of biological processes. The development of drugs that target such interactions is a very active research field. Hence predicting protein-protein interactions represent an important challenge in bioinformatics research. Machine learning techniques have been applied to predict protein-protein interactions. Most of these techniques address this problem as a binary classification problem. While it is easy to get a dataset of...

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Blob Multi-Objective Optimization Using Genetic Algorithm...

Created: 2012-05-11 02:23:50

Credits: User Mohd Saberi

License: Creative Commons Attribution-Share Alike 3.0 Unported License

 Microarray technology has been increasingly used in cancer research because of its potential for measuring expression levels of thousands of genes simultaneously in tissue samples. It is used to collect the information from tissue samples regarding gene expression differences that could be useful for cancer classification. However, this classification task faces many challenges due to availability of a smaller number of samples compared to the huge number of genes, and many of ...

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