Motivation: Data mining tools are proposed to establish mechanistic connections between
chemotypes and specific cellular functions. Drawing on a previous study that classified the …

Novel strategies are proposed to quantitatively analyze and relate biological pathways to
drug responses using gene expression and small-molecule growth inhibition data (GI 50) …

Studies into the genetic origins of tumor cell chemoactivity pose significant challenges to
bioinformatic mining efforts. Connections between measures of gene expression and …

Genome‐wide transcriptional expression analysis is a powerful strategy for characterizing
the biological activity of anticancer compounds. It is often instructive to identify gene sets …

The current convergence of molecular and pharmacological data provides unprecedented
opportunities to gain insights into the relationships between the two types of data. Multiple …

Developing reliable biomarkers of tumor cell drug sensitivity and resistance can guide
hypothesis-driven basic science research and influence pre-therapy clinical decisions. A …

To explore genes that determine the sensitivity of cancer cells to anticancer drugs, we
investigated using cDNA microarrays the expression of 9216 genes in 39 human cancer cell …

The sensitivity of cancer cells to anticancer drugs is a crucial factor for developing effective
treatments. However, it is still challenging to precisely predict the effectiveness of …

Motivation: Recent large-scale omics initiatives have catalogued the somatic alterations of
cancer cell line panels along with their pharmacological response to hundreds of …

New computational approaches are needed to integrate both protein expression and gene
expression profiles, extending beyond the correlation analyses of gene and protein …