[PDF] from researchgate.net Classification of colorectal carcinogenic tissue with different dna chip technologies
Date Issued
2013-05-08
Author(s)
Simjanoska, Monika
Madevska Bogdanova, Ana
Popeska, Zaneta
Abstract
We explore increased or decreased colorectal gene expression levels since they are the reason for
improper work of the cells in the colorectal region, i.e. the processes they are associated with are
disrupted. In the previous work, we have unveiled the genes responsible for the colorectal cancer
occurrence (the biomarkers), and made a model for classification which determines whether one
patient is carcinogenic. The model uses a developed methodology that calculates the Bayesian
posterior probability for classification. The gene expression profiling was done by using the DNA
microarray technology from the Illumina microarray technology.
The motivation of this research is the comparation between the two different DNA chip technologies, Illumina and Affymetrix, which misses in the literature, especially for the problem of colorectal cancer classification. We examined the gene expression data obtained from the Affymetrix, in order to analyze the differences in the classification process.
improper work of the cells in the colorectal region, i.e. the processes they are associated with are
disrupted. In the previous work, we have unveiled the genes responsible for the colorectal cancer
occurrence (the biomarkers), and made a model for classification which determines whether one
patient is carcinogenic. The model uses a developed methodology that calculates the Bayesian
posterior probability for classification. The gene expression profiling was done by using the DNA
microarray technology from the Illumina microarray technology.
The motivation of this research is the comparation between the two different DNA chip technologies, Illumina and Affymetrix, which misses in the literature, especially for the problem of colorectal cancer classification. We examined the gene expression data obtained from the Affymetrix, in order to analyze the differences in the classification process.
Subjects
File(s)![Thumbnail Image]()
Loading...
Name
ICIT2013_1.pdf
Size
387.3 KB
Format
Adobe PDF
Checksum
(MD5):1026f7799c60174e599cc402fdf5ec2d