Methods based around statistics and linear algebra have been increasingly used in attempts
to address emerging questions in microarray literature. Microarray technology is a long-used …

Cancer, in particular breast cancer, is considered one of the most common causes of death
worldwide according to the world health organization. For this reason, extensive research …

Background The increasing number of gene expression microarray studies represents an
important resource in biomedical research. As a result, gene expression based diagnosis …

The prognostic and treatment-predictive markers currently in use for breast cancer are
commonly based on the protein levels of individual genes (eg, steroid receptors) or aspects …

Microarray gene expression data sets are jointly analyzed to increase statistical power. They
could either be merged together or analyzed by meta-analysis. For a given ensemble of data …

Background Gene expression profiles based on microarray data have been suggested by
many studies as potential molecular prognostic indexes of breast cancer. However, due to …

Cancer is one of the dreadful diseases, which causes a considerable death rate in humans.
Cancer is featured by an irregular, unmanageable growth that may demolish and attack …

Background Nowadays, many public repositories containing large microarray gene
expression datasets are available. However, the problem lies in the fact that microarray …

Molecular tests predicting the outcome of breast cancer patients based on gene expression
levels can be used to assist in making treatment decisions after consideration of …

Validating prognostic or predictive candidate genes in appropriately powered breast cancer
cohorts are of utmost interest. Our aim was to develop an online tool to draw survival plots …