Figure 6 from The Tumor Microbiome as a Predictor of Outcomes in Patients with Metastatic Melanoma Treated with Immune Checkpoint Inhibitors
Year: 2024
Type: other
Abstract: Prediction of random forest model combining microbe abundance and gene signatures. Balanced accuracies achieved by the microbe abundance, gene expression, and combined models for each of the three datasets.
Authors: Caroline E. Dravillas, Samuel S. Coleman, Rebecca Hoyd, Griffin Caryotakis, Louis Denko, Carlos H.F. Chan, Michelle L. Churchman, Nicholas Denko, Rebecca D. Dodd, Islam Eljilany, Sheetal Hardikar, Marium Husain, Alexandra P. Ikeguchi, Ning Jin, Qin Ma, Martin D. McCarter, Afaf E.G. Osman, Lary A. Robinson, Eric A. Singer, Gabriel Tinoco, Cornelia M. Ulrich, Yousef Zakharia, Daniel Spakowicz, Ahmad A. Tarhini, Aik Choon Tan
Language: English
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
OpenAlex ID: W4401427978