Supplementary Figure-6 from Development and Validation of a Gene Signature Classifier for Consensus Molecular Subtyping of Colorectal Carcinoma in a CLIA-Certified Setting
Year: 2023
Type: supplementary-materials
Abstract: Nanostring CMS Classifier Performance: Performance of Nanostring 100 gene CMS classifier applied to FFPE samples (6A and 6C) and FF samples (6B and 63D). The top two figures plot 4-class accuracy vs. classification confidence, with the dots marking individual samples either correctly (1.0) or incorrectly (0.0), with color indicat-ing correct CMS. The line contains a generalized additive model (GAM) fit to these data with 95% pointwise confidence bands, and demonstrates that samples classified with greater confidence were more likely to be cor-rectly classified. Figure 6C and 6D plot 4-class accuracy vs. RNA quality, defined as 0nt (FFPE) or RIN (FF). Note that there is little if any association of CMS accuracy with RNA quality, suggesting that the perfor-mance of classifier is robust to RNA quality in this study.
Authors: Jeffrey S. Morris, Rajyalakshmi Luthra, Yusha Liu, Dzifa Y. Duose, Wonyul Lee, Neelima G. Reddy, Justin Windham, Huiqin Chen, Zhimin Tong, Baili Zhang, Wei Wei, Manyam Ganiraju, Bradley M. Broom, Hector A. Alvarez, Alicia Mejia, Omkara Veeranki, Mark J. Routbort, Van K. Morris, Michael J. Overman, David Menter, Riham Katkhuda, Ignacio I. Wistuba, Jennifer S. Davis, Scott Kopetz, Dipen M. Maru
Language: English
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
OpenAlex ID: W4362411545