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.
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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.
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## 🔧 Installation
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## 🔧 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。
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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。
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## 🔧 安装
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## 🔧 安装
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