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Updated: Jun 19, 2026

From a 2DE-Gel Spot to Protein Function: Lesson Learned From HS1 in Chronic Lymphocytic Leukemia
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通过整合不同的基因,根据时间序列动态网络识别与白血病相关的基因

Jin A1, Ju Xiang2, Xiangmao Meng3

  • 1School of Computer Science and Engineering, Central South University, Changsha 410083, China.

Genomics, proteomics & bioinformatics
|April 29, 2025
PubMed
概括

这项研究介绍了DyNDG,这是一种用于识别白血病基因的新型动态网络模型. DyNDG通过分析动态生物网络,提高了预测白血病相关基因的准确性.

关键词:
不同表达基因的差异性基因疾病基因预测 疾病基因预测动态网络的动态网络.在白血病中,白血病.随机步行 随机步行 随机步行

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