更新模型结构图

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FScanpy is a comprehensive Python package designed for the prediction of [Programmed Ribosomal Frameshifting (PRF)](https://en.wikipedia.org/wiki/Ribosomal_frameshift) sites in nucleotide sequences. By integrating advanced machine learning approaches (HistGradientBoosting and BiLSTM-CNN) with the established [FScanR](https://github.com/seanchen607/FScanR.git) framework, FScanpy provides robust and accurate PRF site predictions. FScanpy is a comprehensive Python package designed for the prediction of [Programmed Ribosomal Frameshifting (PRF)](https://en.wikipedia.org/wiki/Ribosomal_frameshift) sites in nucleotide sequences. By integrating advanced machine learning approaches (HistGradientBoosting and BiLSTM-CNN) with the established [FScanR](https://github.com/seanchen607/FScanR.git) framework, FScanpy provides robust and accurate PRF site predictions.
![FScanpy Architecture](/tutorial/image/structure.jpeg) ![FScanpy Architecture](/tutorial/image/structure.jpg)
## 🔧 Installation ## 🔧 Installation

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FScanpy 是一个专为预测核苷酸序列中[程序性核糖体移码 (PRF)](https://en.wikipedia.org/wiki/Ribosomal_frameshift) 位点而设计的综合性 Python 包。通过将先进的机器学习方法HistGradientBoosting 和 BiLSTM-CNN与已建立的 [FScanR](https://github.com/seanchen607/FScanR.git) 框架相结合FScanpy 提供了稳健且准确的 PRF 位点预测。 FScanpy 是一个专为预测核苷酸序列中[程序性核糖体移码 (PRF)](https://en.wikipedia.org/wiki/Ribosomal_frameshift) 位点而设计的综合性 Python 包。通过将先进的机器学习方法HistGradientBoosting 和 BiLSTM-CNN与已建立的 [FScanR](https://github.com/seanchen607/FScanR.git) 框架相结合FScanpy 提供了稳健且准确的 PRF 位点预测。
![FScanpy 架构](/tutorial/image/structure.jpeg) ![FScanpy 架构](/tutorial/image/structure.jpg)
## 🔧 安装 ## 🔧 安装

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