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Date: 2008
Language: eng
Abstract: The contrast of intensity in x-ray images prior to image processing but contrast process dose not include any degradation of images. Many x-ray images are damage due to converse and contrast process. ... More
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Date: 2008
Language: eng
Abstract: The algorithm of extracting motifs from a family or subfamily is still a hot spot in bioinformatics. It not only contributes to understand functions of proteins and predicts the classification which a... More
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Date: 2008
Language: eng
Abstract: A linear scale to estimate DNA-binding free energy of amino acid residues is reported. Scales derived exclusively for irregular and helical positions give 76% and 68% classification accuracy between s... More
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Date: 2008
Language: eng
Abstract: Since protein complexes play important biological roles in cells, many computational methods have been proposed to detect protein complexes from protein-protein interaction (PPI) data. In this paper, ... More
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Date: 2008
Language: eng
Abstract: In this paper we implement and test the recently described nearest subspace classifier on a range of microarray cancer datasets. Its classification accuracy is tested against nearest neighbor and near... More
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Date: 2008
Language: eng
Abstract: This work presents a new consensus clustering method for gene expression microarray data based on a genetic algorithm. Using two datasets - DA and DB - as input, the genetic algorithm examines putativ... More
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Date: 2008
Language: eng
Abstract: Repositories are evolving in response to a growing understanding of institutional and research community data and object management needs. This paper (building on work already published in DLib, Septe... More
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Date: 2008
Language: eng
Abstract: The main role of xylanolytic enzyme, β-endoxylanase (1,4-β-D-xylan xylanohydrolase, EC 3.2.1.8) is to convert the polymer xylan to xylosaccharides. Many xylanase and xylosidase genes from fungi and ba... More
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Date: 2008
Language: eng
Abstract: In this paper, we have applied linear discriminant analysis and support vector machine for predicting GO term annotated proteins using amino acid occurrence/composition in uniref50 data set, i.e., uni... More
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Date: 2008
Language: eng
Abstract: This study focuses on pattern recognition in pathology data collected from patients tested for Chlamydia pneumoniae (Cp) infection, with co-infection by Mycoplasma pneumoniae (Myco) also considered. B... More
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Date: 2008
Language: eng
Abstract: Effective reproduction is essential for the survival and proliferation of any organism, from the birth of new offspring to the repro- duction of individual cells. Each portion of a cell’s DNA must be ... More
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Date: 2008
Language: eng
Abstract: Different from significant gene expression analysis which looks for all genes that are differentially regulated, feature selection in prognostic gene expression analysis aims at finding a subset of in... More
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Date: 2008
Language: eng
Abstract: In this paper, we aim at using genetic algorithms for gene selection and propose silhouette statistics as a discriminant function to classify breast cancers on microarray data for pattern discovery. I... More
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Date: 2008
Language: eng
Abstract: Clustering is one of the most basic processes that are performed in simplifying data and expressing knowledge in a scientific endeavor. Clustering algorithms have been proposed for the analysis of gen... More
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Date: 2008
Language: eng
Abstract: In recent years, the Graz Brain-Computer Interface (BCI) has been developed and different aspects of this new field of research such as feature extraction and classification, mode of operation, mental... More
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Date: 2008
Language: eng
Abstract: Gene expression analysis is one of the most important tasks for genomic medicine, using these it is possible to classify tumors, which are directly related with the development of cancer. This paper p... More
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Date: 2008
Language: eng
Abstract: Hydrophobic-hydrophilic interactions have a strong impact on the three-dimensional structure a protein will adopt. Because structure, not amino acid sequence order, carry out certain functions it is i... More
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Date: 2008
Language: eng
Abstract: Uncovering functional associations for genes and gene products is a significant challenge. Studies have emerged that employ knowledge-based procedures to extract functional data for genes from a varie... More
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Date: 2008
Language: eng
Abstract: k-word matches, the number of words of length k shared between two sequences, also known as the D2 statistic, are used in alignment-free sequence comparison statistic. The advantages of the use of thi... More
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Date: 2008
Language: eng
Abstract: Pairwise alignment approaches for time-varying gene expression profiles have been recently developed for the detection of co-expressions in time-series microarray data sets. In this paper, we analyze ... More
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Date: 2008
Language: eng
Abstract: PRIB 2008 proceedings found at: http://dx.doi.org/10.1007/978-3-540-88436-1
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Date: 2008
Language: eng
Abstract: Multiple sequence alignment is a broadly used methodology in biological applications. It is expected to locate consensus sequence stretches with evolutionary and functional conservation. However, when... More
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Date: 2008
Language: eng
Abstract: For over a decade genomic and proteomic datasets present a challenge for various statistical and machine learning methods. Most of microarray or mass spectrometry based datasets consist of a small num... More
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Date: 2008
Language: eng
Abstract: The estimation of three-dimension neural active sources from the magnetoencephalography (MEG) record is a very critical issue for both clinical neurology and brain functions research. Nowadays multipl... More
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