… of efficacious drug treatment. Using an inferred transcriptome of a drug combination from
single-drug … tool for the prioritization of new multicomponent drug regimens. While we validated …

… efficacious drug treatment. Using an inferred transcriptome of a drug combination from
single-drug … Future work also aims to integrate DRonA with regulatory-metabolic networks 30–33 …

… essential to understand how the efficacy of both Shapley value-… STAT6 (ranked 31st) is a
transcriptional regulator known to … the transcriptomic factors underlying anticancer drug synergy…

… in designing combination … our predictions of regimen efficacy compare to clinical results,
we compare our INDIGO-MTB—GranSim treatment simulations to results from TB drug clinical …

… -genome transcriptomics data between clinically sensitive … regulation were significant among
the IPA-predicted signaling … -agent and DTX combination treatment using Flow cytometry. …

… Then, transcriptomic data obtained in NGS is used in a … DDIs and prediction of effectiveness
of a drug regimen during co-… signatures of rifamycin drugs and pathways that regulate …

… transcriptomic signatures to predict the drivers of drug synergy and clinical regimen efficacy
… of the transcriptional regulatory network (TRN) showed that drug synergy and antagonism …

… and clinical usage using the single-cell transcriptome, which … parameter r in routine Louvain
clustering automatically, which … searched comboSC drug combination predictions in all drug …

… of a drug combination over individual drugs was calculated … Going beyond monotherapy,
the ability to predict drug … can be essential for improving treatment efficacy in the clinic [50, 51]. …

… MAPK cascade and increased regulators of cellular transport and … for the drug combination
to achieve optimal efficiency. It will … cell heterogeneity through a transcriptomic study, it would …