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    EUSFLAT
    2009
    196views Fuzzy Logic» more  EUSFLAT 2009»
    Organizational Risk Assessment using Adaptive Neuro-Fuzzy Inference System
    13 years 5 months ago
    Organizational Risk Assessment using Adaptive Neuro-Fuzzy Inference System
    Download  www.eusflat.org
    In this paper a fuzzy model based on Adaptive Neuro-Fuzzy Inference System (ANFIS) is introduced for calculating the level of risk in managerial problems. In this model, affecting ...
    Javad J. Jassbi, Sohrab Khanmohammadi
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    IJCNN
    2006
    IEEE
    186views Neural Networks» more  IJCNN 2006»
    Reconstruction of Gene Regulatory Networks from Temporal Microarray Data Using Pattern Recognition Techniques
    14 years 1 months ago
    Reconstruction of Gene Regulatory Networks from Temporal Microarray Data Using Pattern Recognition Techniques
    Download  www-rohan.sdsu.edu
    - Gene regulatory networks allow us to study and understand genes’ roles in biological processes. Among others, regulatory networks help to identify pathway initiator genes and t...
    Azhar Salim, Faramarz Valafar
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    BMEI
    2008
    IEEE
    222views Biomedical Imaging» more  BMEI 2008»
    Clustering of High-Dimensional Gene Expression Data with Feature Filtering Methods and Diffusion Maps
    13 years 9 months ago
    Clustering of High-Dimensional Gene Expression Data with Feature Filtering Methods and Diffusion Maps
    Download  math.georgiasouthern.edu
    The importance of gene expression data in cancer diagnosis and treatment by now has been widely recognized by cancer researchers in recent years. However, one of the major challen...
    Rui Xu, Steven Damelin, Boaz Nadler, Donald C. Wun...
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    BMCBI
    2005
    88views more  BMCBI 2005»
    Using large-scale perturbations in gene network reconstruction
    13 years 7 months ago
    Using large-scale perturbations in gene network reconstruction
    Download  eprints.ucl.ac.uk
    Background: Recent analysis of the yeast gene network shows that most genes have few inputs, indicating that enumerative gene reconstruction methods are both useful and computatio...
    Thomas MacCarthy, Andrew Pomiankowski, Robert Seym...
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    CIBCB
    2008
    IEEE
    163views Computational Biology» more  CIBCB 2008»
    Classification of mouse fRNA genes using evolved neural networks
    14 years 1 months ago
    Classification of mouse fRNA genes using evolved neural networks
    Download  65.44.200.132
    Functional RNAs (fRNAs) play a key role in gene regulation, at both the transcriptional and translational levels. Identification of fRNA genes can be difficult, given that some cla...
    Mars Cheung, Gary B. Fogel
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