… modulation of cell state can strongly influence drug responses, uncovering state-specific
vulnerabilities. This work provides a broadly applicable framework for aligning cell states across …

… Identification of genes involved in innate drug responses To identify the genes that may be
linked to innate drug responses, we estimated the number of genes that are specifically up- or …

… identify features of drug response. Further, deconvoluting transcriptomic data shows that
drug sensitivity is governed broadly by AML cell differentiation state, sometimes conditionally …

… show that the response to widely-used first-line chemotherapy is substantially influenced
by the metabolic state of the cells and that cancer cells rewire their metabolism in response to …

… -cell phenotype profiling to investigate the responses of a … and drug susceptibility matrices
inferred from the cell state … the phenotypic evolution of unsorted cells on prolonged BRAFi …

… drug response. Machine learning techniques hold immense promise for better drug response
… model of human cancer cells trained on the responses of 1,235 tumor cell lines to 684 …

… in vitro drug screening in cell lines to the single-cell data, we devise an algorithm to
computationally predict drug responses starting from single-cell … enables cells with differential drug …

… cell-derived clones demonstrated that continuous instability quickly translates into
heterogeneity of the cell … , we uncovered considerably different drug responses: at least 75% of …

… Our goal was to use baseline gene expression and in vitro drug sensitivity derived from cell
lines, coupled with in vivo baseline tumor gene expression, to predict patients’ response to …

… cells were sufficient for the prediction of drug response. Experimental Design: In this study, a
machine learning model system was developed to classify cell … drug response of cancer cell …