… that addresses the impact of signaling heterogeneity on targeted … Tumor heterogeneity is
known to contribute to drug … However, in addition to predicting average cell viability, we also …

… for taking intra-tumor heterogeneity into account. Based on … Extending to combinations of
drugs, we show that drug pairs … To address these questions, we develop a machine learning …

… provides informative data resources for constructing computational models of cell biology.
Models … To address these challenges, we introduce a hybrid approach that combines explicit …

… are thought to predate treatment and are predictive of a poor … of treatment strategies that
address tumour heterogeneity. The … patients into models, both preclinical and computational, that …

… mono- and combination therapies and basic scientists in … the association between tumour
heterogeneity and survival in … prediction and optimal time and selection of treatment, and …

… novel strategies for therapeutic response prediction and drug … tumor heterogeneity and how
it affects therapeutic response, … , addressing extensive genetic, genomic and transcriptional …

… the different forms of genetic tumour heterogeneity and re-… degree of heterogeneity, the
key questions addressed in this … lung cancers complicates the driver functionality prediction. …

… of computational models have been developed to address … the input fastq files it is now
possible to highlight predictive … techniques when combined with computational analysis tools will …

… Here we report an unanticipated impact of intratumor heterogeneity (ITH) on risk prediction
of recurrence in NSCLC, underscoring the need for a better genomic strategy to refine …

… a computational–experimental drug combination prediction and … Combination therapies are
essential to address the genetic … Modeling of cancer heterogeneity is considered extremely …