Multiple omics-based machine learning reveals peripheral blood immune cell landscape during acute rejection of kidney transplantation and constructs a precise non-invasive diagnostic strategy.
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| Title: | Multiple omics-based machine learning reveals peripheral blood immune cell landscape during acute rejection of kidney transplantation and constructs a precise non-invasive diagnostic strategy. |
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| Authors: | Wu, Jiyue1,2 (AUTHOR), Gan, Lijian1,2 (AUTHOR), Shen, Xihao1,2 (AUTHOR), Zhang, Feilong1,2 (AUTHOR), Li, Zhen1,2 (AUTHOR), Cao, Huawei1,2 (AUTHOR), Wang, Hao1,2 (AUTHOR), Sun, Zejia1,2 (AUTHOR) mnwkszj5076@163.com, Qi, Le3 (AUTHOR) lqi7@jlu.edu.cn, Wang, Wei1,2 (AUTHOR) weiwang0920@163.com |
| Source: | Mammalian Genome. Dec2025, Vol. 36 Issue 4, p1192-1214. 23p. |
| Database: | Academic Search Ultimate |
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