<b>ROCplot.com – transcriptome-based therapy response prediction</b>

<b>ROCplot.com</b> is an online platform designed to validate predictive biomarkers by linking gene expression data to therapy response in breast, ovarian, colorectal cancer, and glioblastoma patients, as well as in vitro models and user-uploaded datasets. It generates ROC curves, calculates AUC values, and identifies optimal cutoffs to distinguish responders from non-responders.<b>Key features:</b><br>• ROC analysis across clinical samples, cell lines, and custom datasets<br>• Available cancer types: breast, ovarian, colorectal, glioblastoma, and pan-cancer miRNA<br>• Support for biomarker evaluation in chemotherapy, hormonal therapy, HER2-targeted, and immunotherapy contextsAs the first online ROC analysis tool at the transcriptome level, ROCplot.com is widely used to support biomarker-driven clinical decision-making.