In vitro human cell line models have been widely used for cancer pharmacogenomic studies
to predict clinical response, to help generate pharmacogenomic hypothesis for further …

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 …

Differential mRNA expression studies implicitly assume that changes in mRNA expression
have biological meaning, most likely mediated by corresponding changes in protein levels …

Big data can easily be contaminated by outliers or contain variables with heavy-tailed
distributions, which makes many conventional methods inadequate. To address this …

High-throughput and high-content databases are increasingly important resources in
molecular medicine, systems biology, and pharmacology. However, the information usually …

Protein levels and function are poorly predicted by genomic and transcriptomic analysis of
patient tumours. Therefore, direct study of the functional proteome has the potential to …

Background To leverage the potential of multi-omics studies, exploratory data analysis
methods that provide systematic integration and comparison of multiple layers of omics …

Microarray expression studies suffer from the problem of batch effects and other unwanted
variation. Many methods have been proposed to adjust microarray data to mitigate the …

Background: Hepatocellular carcinoma (HCC) is characterized by a poor prognosis and
accounts for the fourth common cause of cancer-related deaths. Recently, pyroptosis has …

Abstract Background The Central Dogma of biology holds, in famously simplified terms, that
DNA makes RNA makes proteins, but there is considerable uncertainty regarding the …