Dimension scores are derived from public data and fields; weighted into the composite. Reference only.
ROC Plotter is an online ROC analysis tool operated by A5 Genetics Ltd. Its core purpose is to link gene expression with treatment response for the validation of predictive cancer biomarkers. The site explicitly covers patient transcriptomic data for breast cancer, ovarian cancer, colorectal cancer, glioblastoma, and more. It also provides entry points for immunotherapy, miRNA pan-cancer analysis, cell lines, and ROC plots generated from user-uploaded data.
The tool can generate ROC curves, AUC values, and p values, and helps researchers identify better cutoffs for distinguishing responders from nonresponders. It recognizes 70,632 gene symbols, including official HGNC symbols, historical symbols, and aliases. However, the site also warns that because gene names may overlap, users should cross-check gene identities.
In terms of ecosystem, the site is linked with similar online research tools such as Kaplan Meier plotter, TNMplotter, muTarget, and multiple-testing correction tools, and it also mentions the JetSet probe selection tool.
Based on its terms, ROC Plotter is closer to a closed-source online service. The company retains intellectual property rights over the source code, databases, features, software, and page design, and prohibits copying, adaptation, decompilation, or reverse engineering. The main content does not provide any API, SDK, or self-hosting documentation. On the contrary, the terms prohibit automated scripts, bots, data mining, and systematic scraping, so it is not suitable as a programmable data service to be embedded directly into a development pipeline.
Academic researchers may use it free of charge for scientific projects, provided the original paper is properly cited. Commercial entities must obtain a valid license, and unauthorized commercial use is explicitly prohibited. Specific pricing, payment methods, and contract procedures are not disclosed; only an email contact is provided. The terms also state that the service is not designed for industry-specific regulations such as HIPAA or FISMA, so caution is needed when working with regulated clinical data.
Its strengths are a focused domain, a low barrier to entry, free academic use, and the ability to quickly validate candidate biomarkers using built-in cancer transcriptomic datasets. Its limitations include opaque commercial licensing information, no programmatic API or self-hosting capability, and an “as is” service model with no guarantee of continuous availability.
ROC Plotter is best suited for basic cancer research, validation work in bioinformatics papers, and early-stage candidate biomarker screening. If an organization needs bulk automation, compliant hosting, or an auditable API, it may be better served by building its own ROC analysis workflow in R or Python.
The crawled text does not provide information about access from mainland China, network acceleration, or local payment options, so this remains unknown. Commercial licensing requires email communication, and it is also unclear whether payments from Chinese institutions are supported.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on rocplot.com official site.
rocplot.com is an Unknown Health provider. TG4G tracks its product information, an overall rating of 7.0/10, and a China-accessibility score of China direct-connect friendly. Click "Visit Official Site" to reach rocplot.com directly.