The vast array of in silico resources and data of high throughput profiling currently available
in life sciences research offer the possibility of aiding cancer gene and drug discovery …

Cancer is a complex disease that is driven by genetic alterations. There has been a rapid
development of genome-wide techniques during the last decade along with a significant …

A new generation of anticancer therapeutics called target drugs has quickly developed in
the 21 st century. These drugs are tailored to inhibit cancer cell growth, proliferation, and …

Cancer therapy agents have been used extensively as cytotoxic drugs against tissue or
organ of a specific type of cancer. With the better understanding of molecular mechanisms …

Identifying potential cancer-associated genes and drug targets from omics data is
challenging due to its diverse sources and analyses, requiring advanced skills and large …

The convergence of genomic technologies and the development of drugs designed against
specific molecular targets provides many opportunities for using bioinformatics to bridge the …

We present an integrated approach that predicts and validates novel anti-cancer drug
targets. We first built a classifier that integrates a variety of genomic and systematic datasets …

Accumulated knowledge of genomic information, systems biology, and disease mechanisms
provide an unprecedented opportunity to elucidate the genetic basis of diseases, and to …

Cancer is a disease with a long history of existence in both humans and animals. Some of
the earliest cases of cancer date back to 1500 BCE, yet to date, there is no definitive cure …

Large-scale cancer datasets such as The Cancer Genome Atlas (TCGA) allow researchers
to profile tumors based on a wide range of clinical and molecular characteristics …