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  1. Asral Bahari Jambek, Khairul Anuar Mat Said, Nasri Sulaiman
    MyJurnal
    DNA microarray images contain spots that represent the gene expression of normal and cancer samples.
    As there are numerous spots on DNA microarray images, image processing can help in enhancing an
    image and assisting analysis. The mathematical morphology is proposed to enhance the microarray image
    and analyse noise removal on the image. This follows an experiment in which the erosion, dilation,
    opening, closing, white top-hat (WTH) and black top-hat (BTH) operations were applied on a DNA
    microarray image and its results analysed. Noise was completely removed by the erosion operation and
    the images were enhanced.
  2. Baans, Omar Salem, Asral Bahari Jambek, Uda Hashim, Nor Azah Yusof
    MyJurnal
    Normalisation is a process of removing systematic variation that affects measured gene expression levels
    in microarray experiment. The purpose is to get a more accurate DNA microarray result by deleting
    the systematic errors that may have occurred when making the DNA microarray slid. In this paper,
    four normalisation methods of Global, Lowess, Quantile and Print-tip are discussed, tested and their
    final results compared in the form of Matrixes and graphs. Ideal and real microarray slides have been
    used for this project. It was found that the Print-tip normalisation method showed the closest results to
    the real result for an ideal microarray slide and it has a straight median line final graph. The Print-tip
    normalisation method uses more than one normalization factor that is divided among intervals which
    are dependent on the values of the addition of red and green logarithm.
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