FDPSM:致病同义突变的特征驱动预测建模

Fangfang Jin1, Na Cheng2, Lihua Wang1,3

  • 1Information Materials and Intelligent Sensing Laboratory of Anhui Province, Institutes of Physical Science and Information Technology, Anhui University, Hefei, Anhui 230601, China.

概括

同名突变可以通过影响RNA过程引起疾病. 我们的新方法,FDPSM,使用多种特征和它们的相互作用准确预测致病同义突变,优于现有的工具.

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