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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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Blob Intelligent Hybrid Algorithm using Constraint-Based ...

Created: 2012-05-11 02:21:50

Credits: User Mohd Saberi

License: Creative Commons Attribution-Share Alike 3.0 Unported License

 Almost all hospital has its own nurses and still use the old fashion manual way of managing nurse scheduling in daily business. Nurse scheduling problem represents a difficult class of multi-objective optimisation problems consisting of a number of interfering objectives between the hospitals and individual nurses. Nurse scheduling consists of assignment of shifts and holidays to nurses for each day on the time horizon, taking into consideration a variety of conflicting interests or obj...

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Blob Inferring Gene Regulatory Networks from Gene Express...

Created: 2012-05-11 02:20:28

Credits: User Mohd Saberi

License: Creative Commons Attribution-Share Alike 3.0 Unported License

 Enabled by recent advances in bioinformatics, the inference of gene regulatory networks (GRNs) from gene expression data has garnered much interest from researchers. This is due to the need of researchers to understand the dynamic behavior and uncover the vast information lay hidden within the networks. In this regard, dynamic Bayesian network (DBN) is extensively used to infer GRNs due to its ability to handle time-series microarray data and modeling feedback loops. However, the ...

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Blob Identifying Metabolic Pathway within Microarray Gene...

Created: 2012-05-11 02:18:43 | Last updated: 2012-05-11 02:18:44

Credits: User Mohd Saberi

License: Creative Commons Attribution-Share Alike 3.0 Unported License

 Extracting metabolic pathway that dictates a specific biological response is cunently one of the important disciplines in metabolic system biology research. Previous methods have successfirlly identified those pathways but without concerning the genetic effect and relationship of the genes, the underlying structw€ is not precisely represented and cannot be justified to be significant biologically. In this article, probabilistic models capable of identi&ing the significant...

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