HIGHLIGHTS
- who: Qingqing Li from the (UNIVERSITY) have published the article: XGBoost-based and tumor-immune characterized gene signature for the prediction of metastatic status in breast cancer, in the Journal: (JOURNAL)
- what: Most of the genes the authors have proposed in this research have been biologically verified, which also proves the reliability of the gene signature.
- how: By adjusting parameters the objective function was continuously optimized and optimal results were obtained. To recognize distinct patterns between subgroups of metastatic and nonmetastatic breast cancer the authors conducted a DEG analysis. The results showed that . . .
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