Now showing items 2-9 of 9

  • Effective classification and gene expression profiling for the facioscapulohumeral muscular dystrophy 

    González Navarro, Félix Fernando; Belanche Muñoz, Luis Antonio; Silva Colón, Karen Andrea (2013-12-13)
    Article
    Open Access
    The Facioscapulohumeral Muscular Dystrophy (FSHD) is an autosomal dominant neuromuscular disorder whose incidence is estimated in about one in 400,000 to one in 20,000. No effective therapeutic strategies are known to halt ...
  • Feature and model selection in 1H-MRS single voxel spectra for cancer classification 

    González Navarro, Félix Fernando; Belanche Muñoz, Luis Antonio (Future Technology Press, 2009-01-31)
    Part of book or chapter of book
    Restricted access - publisher's policy
    Machine learning is a powerful paradigm within which to analyze 1HMRS spectral data for the classification of tumour pathologies. An important characteristic of this task is the high dimensionality of the involved data ...
  • Feature selection for the prediction and visualization of brain tumor types using proton magnetic resonance spectroscopy data 

    González Navarro, Félix Fernando; Belanche Muñoz, Luis Antonio (Springer, 2012)
    Part of book or chapter of book
    Restricted access - publisher's policy
    In cancer diagnosis, classification of the different tumor types is of great importance. An accurate prediction of basic tumor types provides better treatment and may minimize the negative impact of incorrectly targeted ...
  • Feature selection in proton magnetic resonance spectroscopy data of brain tumors 

    González Navarro, Félix Fernando; Belanche Muñoz, Luis Antonio (Università degli Studi di Salerno, 2011)
    Conference report
    Open Access
    In cancer diagnosis, classification of the different tumor types is of great importance. An accurate prediction of different tumor types provides better treatment and may minimize the negative impact of incorrectly targeted ...
  • Machine learning methods for classifying normal vs. tumorous tissue with spectral data 

    González Navarro, Félix Fernando; Belanche Muñoz, Luis Antonio (2009)
    Conference report
    Open Access
    Machine learning is a powerful paradigm within which to analyze 1H-MRS spectral data for the automated classi¯cation of tumor pathologies aimed to facilitate clinical diagnosis. The high dimensionality of the involved ...
  • Parsimonious selection of useful genes in microarray gene expression data 

    González Navarro, Félix Fernando; Belanche Muñoz, Luis Antonio (Springer, 2011)
    Part of book or chapter of book
    Open Access
    Machine Learning methods have of late made significant efforts to solving multidisciplinary problems in the field of cancer classification in microarray gene expression data. These tasks are characterized by a large number ...
  • Using machine learning techniques to explore 1H-MRS data of brain tumors 

    González Navarro, Félix Fernando; Belanche Muñoz, Luis Antonio (IEEE Computer Society Publications, 2009)
    Conference report
    Open Access
    Machine learning is a powerful paradigm to analyze Proton Magnetic Resonance Spectroscopy (1H-MRS) spectral data for the classification of brain tumor pathologies. An important characteristic of this task is the high ...
  • Using machine learning techniques to explore H-1-MRS data of brain tumors 

    González Navarro, Félix Fernando; Belanche Muñoz, Luis Antonio (IEEE Computer Society Publications, 2009)
    Conference report
    Open Access
    Machine learning is a powerful paradigm to analyze Proton Magnetic Resonance Spectroscopy (1H-MRS) spectral data for the classification of brain tumor pathologies. An important characteristic of this task is the high ...