Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.09.08.287573v1?rss=1 Authors: Ortmann, J., Rampasek, L., Tai, E., Mer, A. S., Shi, R., Mascaux, C., Fares, A., Pham, N.-A., Beri, G., Eeles, C., Tkachuk, D., Ho, C., Sakashita, S., Weiss, J., Jiang, X., Liu, G., Cescon, D. W., O'Brien, C., Guo, S., Tsao, M.-S., Haibe-Kains, B., Goldenberg, A. Abstract: Quantifying response to drug treatment in mouse models of human cancer is important for treatment development and assignment, and yet remains a challenging task. A preferred measure to quantify this response should take into account as much of the experimental data as possible, i.e. both tumor size over time and the variation among replicates. We propose a theoretically grounded measure, KuLGaP, to compute the difference between the treatment and control arms. KuLGaP is more selective than currently existing measures, reduces the risk of false positive calls and improves translation of the lab results to clinical practice. Copy rights belong to original authors. Visit the link for more info