Simultaneous multiclass classification of tumor types is essential for future clinical
implementations of microarray-based cancer diagnosis. In this study, we have combined …

Motivation: Cancer diagnosis is one of the most important emerging clinical applications of
gene expression microarray technology. We are seeking to develop a computer system for …

Motivation: The development of microarray-based high-throughput gene profiling has led to
the hope that this technology could provide an efficient and accurate means of diagnosing …

Background Microarray datasets are an important medical diagnostic tool as they represent
the states of a cell at the molecular level. Available microarray datasets for classifying cancer …

Background Cancer diagnosis and clinical outcome prediction are among the most
important emerging applications of gene expression microarray technology with several …

Motivation: High-density DNA microarray measures the activities of several thousand genes
simultaneously and the gene expression profiles have been used for the cancer …

Modern cancer treatment relies upon microscopic tissue examination to classify tumors
according to anatomical site of origin. This approach is effective but subjective and variable …

Background Using DNA microarrays, we have developed two novel models for tumor
classification and target gene prediction. First, gene expression profiles are summarized by …

Background Although numerous methods of using microarray data analysis for cancer
classification have been proposed, most utilize many genes to achieve accurate …

With the advancement of microarray technology, gene expression profiling has shown great
potential in outcome prediction for different types of cancers. Microarray cancer data …