Accurate diagnostic classification of cancers can greatly help physicians to choose
surveillance and treatment strategies for patients. Following the explosive growth of huge …

Microarray gene expression data are often accompanied by a large number of genes and a
small number of samples. However, only a few of these genes are relevant to cancer …

Background For a long time, breast cancer has been a leading cancer diagnosed in women
worldwide, and approximately 90% of cancer-related deaths are caused by metastasis. For …

In this paper, the recently developed Extreme Learning Machine (ELM) is used for directing
multicategory classification problems in the cancer diagnosis area. ELM avoids problems …

A combination of Integer-Coded Genetic Algorithm (ICGA) and Particle Swarm Optimization
(PSO), coupled with the neural-network-based Extreme Learning Machine (ELM), is used for …

Cancer classification is a topic of major interest in medicine since it allows accurate and
efficient diagnosis and facilitates a successful outcome in medical treatments. Previous …

The microarrays permit experts to monitor the gene profiling for thousands of genes across
an array of cellular responses, phenotype, and circumstances. Selecting a tiny subset of …

One of the common types of cancer for women is ovarian cancer. Still, at present, there are
no drug therapies that can properly cure this deadly disease. However, early-stage detection …

Background An important use of data obtained from microarray measurements is the
classification of tumor types with respect to genes that are either up or down regulated in …

With the advancement of microarray technology, gene expression profiling has shown
remarkable effort to predict the different types of malignancy and their subtypes. In …