Cancer classification is routinely done using gene expression data. With microarray
technology, monitoring thousands of genes is an easy task. The reliable and precise …

The role of micro array expression data in cancer diagnosis is very significant. Mining for
useful information from such micro array data consisting of thousands of genes and a small …

Biological information related to cancer patients are recorded as microarray data. Data
mining plays important role in gene selection and classification of microarray data. The …

Microarray based gene expression profiling has been emerged as an efficient technique for
cancer classification, as well as for diagnosis, prognosis, and treatment purposes. The …

Gene Expression data comprising more number genes and samples are used for cancer
classification. Gene Expression information provides the gene expression level contributing …

The development of microarray technologies has made it to obtain gene expression pattern
of thousands of genes in a single cell simultaneous. Based on such microarray data …

Due to the high dimensionality of gene expression data, gene selection is an important step
for improving gene expression data classification performance. This is true for the case of …

Analyzing gene expression data from microarray devices has many important applications in
medicine and biology: the diagnosis of disease, accurate prognosis for particular patients …

High dimensionality is one the major problem in the classification of microarray gene
expression data. Most of the classifiers performed well for the data having same number of …

Cancer diagnosis is one of the most important emerging clinical applications of gene
expression microarray data. In this work, we aim to develop an automated system for robust …