@InProceedings{LlerenaMaci:2008:ExViRF,
               author = "Llerena, Soledad espezua and Maciel, Carlos Dias",
          affiliation = "student and professor",
                title = "Exploratory visualization of RFLP-PCR genomic data using 
                         Multidimensional Scaling",
            booktitle = "Proceedings...",
                 year = "2008",
               editor = "Jung, Cl{\'a}udio Rosito and Walter, Marcelo",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 21. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "data visualization, multidimensional scaling, LMDS, dimensional 
                         reduction, RFLP-PCR.",
             abstract = "Gel electrophoresis images are common results of biomolecular 
                         techniques such as RFLP-PCR (Restriction Fragment Length 
                         Polymorphism - Polymerase Chain Reaction). These images are used 
                         to discover the genetic relations between organisms. Find patterns 
                         in these images are a complex and delayed work if it is performed 
                         by humans. Traditionally, the analysis of gel electrophoresis 
                         images has been done by biologist using dendrogram representations 
                         aiming to capture the relations between organisms in a 
                         hierarchical organization. However this representation may be hard 
                         to analyze, especially when the information becomes large. This 
                         highlights the need to seek new ways of representing this type of 
                         data that become more intuitive. One of that methods is MDS 
                         (Multidimensional Scaling) which is a method used to transform 
                         measurements of similarity (or dissimilarity) between pairs of 
                         objects into points in a low-dimensional space, allowing visualize 
                         the data in a form that makes it easier to interpret. This paper 
                         proposes a new procedure to represent RFLP-PCR images as points in 
                         a low-dimensional space, based in a MDS technique. The procedure 
                         was applied in a genomic dataset obtained from a Brazilian 
                         collection of N2-fixing bacterial strains belonging to the genus 
                         Bradyrhizobium. The results showed the efficacy of the procedure 
                         to represent the RFLP-PCR images, facilitating the identification 
                         of patterns in a more intuitive way than dendrogram's 
                         representations. Also, our procedure allows an appropriate 
                         integration with a pattern-recognition algorithm, taking 
                         advantages of the visual human skills and the computational 
                         power.",
  conference-location = "Campo Grande, MS, Brazil",
      conference-year = "12-15 Oct. 2008",
                  doi = "10.1109/SIBGRAPI.2008.42",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2008.42",
             language = "en",
                  ibi = "6qtX3pFwXQZG2LgkFdY/UNuEH",
                  url = "http://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/UNuEH",
           targetfile = "espezua-MDS.pdf",
        urlaccessdate = "2024, Apr. 29"
}