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. 2022 Dec 27;13(1):71. doi: 10.3390/life13010071

Figure 1.

Figure 1

TOO/COO Prediction with COOBoostR. (a) COOBoostR algorithm flow diagram. A total of 708 WGS data and 673 chromatin data were subjected to the 1-megabase level preprocessing followed by XGBoost-mediated prediction stage. (b) TOO prediction accuracy for melanoma, multiple myeloma, and glioblastoma with COOBoostR. (c) TOO accuracy comparison between COOBoostR and random forest-based algorithm for colorectal cancer, esophageal adenocarcinoma [4], and liver cancer.