… drug responses, we compared the expression of top genes in each factor between the drug-
… As expected, the most conserved response to etoposide was a decrease in expression of …

… single-cell level drug sensitivity as it establishes bridges among drug sensitivity, gene … of
bulk-level drug response RNA-seq information from the Genomics of Drug Sensitivity in Cancer (…

… response labels (sensitive or resistant) of cell lines from the GDSC dataset. Direct predictions
generated by the drug response predictor on scRNA-seq (as … cell drug response prediction …

… In clinical development, scRNA-seq can inform decision-… of drug response and disease
progression. Here, we illustrate how scRNA-seq methods are being applied in key steps in drug …

… report Digital RNA with pertUrbation of Genes (DRUG-seq), a high-throughput platform for
drug … RNA-seq is a powerful tool to investigate drug effects using transcriptome changes as a …

… scRNA-seq analysis to drug response prediction. In scDrug, we first constructed the workflow,
the scRNA-seq analysis pipeline, for a comprehensive analysis of the scRNA-seq data. …

… into the drug response, we performed full-length single-cell RNA sequencing (scRNA-seq) …
, celecoxib and the combination of the two drugs, respectively. To compare the global …

… and MDA-MB-231 treated with drugs JQ1 and Dexamethasone, respectively, to elucidate
the mechanism of drug resistance. RNA sequencing(RNA-Seq) data analysis was done using …

… RNA sequencing (RNA-seq) of single tumor cells can provide comprehensive information
… of heterogeneous tumor cell functional responses into customized anti-cancer treatments. …

… in drug response would allow us to focus on the most prominent change in the cells. RNA …
RNA-sequencing platform. Numerous software tools were used to evaluate the resulting …