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m6ADP-GCNPUAS:m6通过图形卷积网络和自我适应抽样的积极无标记学习进行疾病预测

Teng Zhang1, Lian Liu2

  • 1School of Computer, Jiangsu University of Science and Technology, Zhenjiang, 212100, China.

Interdisciplinary sciences, computational life sciences
|August 30, 2025
PubMed
概括

No abstract available in PubMed .

关键词:
图形卷积网络阳性样本增量积极的未标记的学习随机步行与重新启动m6A与疾病的关联

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相关概念视频

End Point Prediction: Gran Plot01:07

End Point Prediction: Gran Plot

A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
For potentiometric titration, the Gran plot is created by plotting...
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