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    JCP
    2006
    157views more  JCP 2006»
    CF-GeNe: Fuzzy Framework for Robust Gene Regulatory Network Inference
    13 years 11 months ago
    CF-GeNe: Fuzzy Framework for Robust Gene Regulatory Network Inference
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    Most Gene Regulatory Network (GRN) studies ignore the impact of the noisy nature of gene expression data despite its significant influence upon inferred results. This paper present...
    Muhammad Shoaib B. Sehgal, Iqbal Gondal, Laurence ...
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    IJDMB
    2006
    125views more  IJDMB 2006»
    Bi-level clustering of mixed categorical and numerical biomedical data
    13 years 11 months ago
    Bi-level clustering of mixed categorical and numerical biomedical data
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    : Biomedical data sets often have mixed categorical and numerical types, where the former represent semantic information on the objects and the latter represent experimental result...
    Bill Andreopoulos, Aijun An, Xiaogang Wang
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    IJSI
    2008
    122views more  IJSI 2008»
    Mining Gene Expression Data using Domain Knowledge
    13 years 11 months ago
    Mining Gene Expression Data using Domain Knowledge
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    Biology is now an information-intensive science and various research areas, like molecular biology, evolutionary biology or environmental biology, heavily depend on the availabilit...
    Nicolas Pasquier, Claude Pasquier, Laurent Brisson...
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    BMCBI
    2007
    123views more  BMCBI 2007»
    Robust clustering in high dimensional data using statistical depths
    13 years 11 months ago
    Robust clustering in high dimensional data using statistical depths
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    Background: Mean-based clustering algorithms such as bisecting k-means generally lack robustness. Although componentwise median is a more robust alternative, it can be a poor cent...
    Yuanyuan Ding, Xin Dang, Hanxiang Peng, Dawn Wilki...
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    BMCBI
    2007
    171views more  BMCBI 2007»
    Classification of microarray data using gene networks
    13 years 11 months ago
    Classification of microarray data using gene networks
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    Background: Microarrays have become extremely useful for analysing genetic phenomena, but establishing a relation between microarray analysis results (typically a list of genes) a...
    Franck Rapaport, Andrei Zinovyev, Marie Dutreix, E...
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    BMCBI
    2007
    144views more  BMCBI 2007»
    Spectral estimation in unevenly sampled space of periodically expressed microarray time series data
    13 years 11 months ago
    Spectral estimation in unevenly sampled space of periodically expressed microarray time series data
    Download  www.biomedcentral.com
    Background: Periodogram analysis of time-series is widespread in biology. A new challenge for analyzing the microarray time series data is to identify genes that are periodically ...
    Alan Wee-Chung Liew, Jun Xian, Shuanhu Wu, David K...
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    BMCBI
    2006
    115views more  BMCBI 2006»
    Multivariate curve resolution of time course microarray data
    13 years 11 months ago
    Multivariate curve resolution of time course microarray data
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    Background: Modeling of gene expression data from time course experiments often involves the use of linear models such as those obtained from principal component analysis (PCA), i...
    Peter D. Wentzell, Tobias K. Karakach, Sushmita Ro...
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    BMCBI
    2006
    173views more  BMCBI 2006»
    Kernel-based distance metric learning for microarray data classification
    13 years 11 months ago
    Kernel-based distance metric learning for microarray data classification
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    Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...
    Huilin Xiong, Xue-wen Chen
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    BMCBI
    2006
    81views more  BMCBI 2006»
    A fisheye viewer for microarray-based gene expression data
    13 years 11 months ago
    A fisheye viewer for microarray-based gene expression data
    Download  www.biomedcentral.com
    Background: Microarray has been widely used to measure the relative amounts of every mRNA transcript from the genome in a single scan. Biologists have been accustomed to reading t...
    Min Wu, Cheng Thao, Xiangming Mu, Ethan V. Munson
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    BMCBI
    2006
    142views more  BMCBI 2006»
    Improving the Performance of SVM-RFE to Select Genes in Microarray Data
    13 years 11 months ago
    Improving the Performance of SVM-RFE to Select Genes in Microarray Data
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    Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
    Yuanyuan Ding, Dawn Wilkins
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