从基因表达数据中预测组织特异性RNA甲基化,使用稀疏回归模型

Jie Jiang1, Bowen Song2, Jia Meng3

  • 1Department of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu, 215123, China; Institute of Systems, Molecular and Integrative Biology, University of Liverpool, L69 7ZB, Liverpool, United Kingdom.

PubMed
概括

这项研究引入了Exp2RM,这是一种用于预测RNA中N6-甲基氨酸 (m6A) 甲基化位点的新方法. 结合特定组织的模式显著提高了预测的准确性,揭示了洞察力表皮转录组功能.

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