article · Figshare · 2022
Additional file 1 of XGBoost-based and tumor-immune characterized gene signature for the prediction of metastatic status in breast cancer
Li, Qingqing, Yang, Hui, Wang, Peipei, Liu, Xiaocen, Lv, Kun, Ye, Mingquan
Cited by 0Open access
Abstract
Additional file 1: Figure S1. The PR (precision-recall) curves of (a) Optimized XGBoost, (b) XGBoost, (c) support vector machine, (d) decision tree, (e) K-nearest neighbor, (f) logistic regression, and (g) random forest binary classifiers.
Cite this paper
Li, Q., Yang, H., Wang, P., Liu, X., Lv, K., & Ye, M. (2022). Additional file 1 of XGBoost-based and tumor-immune characterized gene signature for the prediction of metastatic status in breast cancer. Figshare. https://doi.org/10.6084/m9.figshare.19613668.v1
Li, Qingqing, et al. “Additional file 1 of XGBoost-based and tumor-immune characterized gene signature for the prediction of metastatic status in breast cancer.” Figshare, 2022, https://doi.org/10.6084/m9.figshare.19613668.v1.
Li, Qingqing, Hui Yang, Peipei Wang, Xiaocen Liu, Kun Lv, and Mingquan Ye. 2022. “Additional file 1 of XGBoost-based and tumor-immune characterized gene signature for the prediction of metastatic status in breast cancer.” Figshare. https://doi.org/10.6084/m9.figshare.19613668.v1.
Li, Q. et al. (2022) ‘Additional file 1 of XGBoost-based and tumor-immune characterized gene signature for the prediction of metastatic status in breast cancer’, Figshare. Available at: https://doi.org/10.6084/m9.figshare.19613668.v1.
@article{li2022additional,
title = {{Additional file 1 of XGBoost-based and tumor-immune characterized gene signature for the prediction of metastatic status in breast cancer}},
author = {Li, Qingqing and Yang, Hui and Wang, Peipei and Liu, Xiaocen and Lv, Kun and Ye, Mingquan},
journal = {Figshare},
year = {2022},
doi = {10.6084/m9.figshare.19613668.v1}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.