@phdthesis{cosgun2013new,
author = {Cosgun, Erdal},
title = {New approach to unsupervised based classification on microarray data},
organization = {Hacettepe University},
year = {2013},
month = {December},
abstract = {Improvements that should not be underestimated have been provided in genetic researches together with the improvements especially in the technology in the recent years. Contribution of Bioinformatics is also important in these improvements. Because the input received should be evaluated most effectively. Methods used for this purpose are generally the Data Mining methods. The subject which we aim to study is the classification of the patients with the gene expression data. Artificial and the real data which public access is available will be used this study. When literature is reviewed a lot of publications exist, especially related with the production of gene expression. The method used in most of the studies is about how to try the suggested method on one or two data sets which have been put in the public use via internet, and then to prove the reliability on artificial data with various scenarios. The most important reason of such an approach is the high cost of genetic researches.},
url = {http://approjects.co.za/?big=en-us/research/publication/new-approach-unsupervised-based-classification-microarray-data/},
}