The use of microarrays for cancer diagnosis implies the complex task of analyzing tens of
thousands of genomic expression data. The need for reliable, interpretable and transferable …

Microarray technology has become an essential part of modern biomedical research. One of
the main benefits of microarray technology is the ability to rapidly measure the expression …

Scientists employing microarray profiling technology to compare sample sets generate data
for a large number of endpoints. Assuming the experimental design minimized sources of …

Microarray experiments contribute significantly to the progress in disease treatment by
enabling a precise and early diagnosis. One of the major objectives of microarray …

The massive surge in the production of microarray data poses a great challenge for proper
analysis and interpretation. In recent years numerous computational tools have been …

Selecting a small subset out of the thousands of genes in microarray data is important for
accurate classification of phenotypes. In this paper, we propose a flexible rank-based …

We present the R package gMWT which is designed for the comparison of several
treatments (or groups) for a large number of variables. The comparisons are made using …

An important problem in microarray experiments is the classification of biological samples
using gene expression data. To date, this problem has received the most attention in the …

Conclusion Information is the king and knowledge is the queen in this post-genomics era.
He who can mine the useful information from the messy raw data and turn it into knowledge …

Background Researchers have worked for decades to solve the enigma of cancer. We know
that essential checkpoints in the life cycle of cells have to be disrupted in order to create a …