arXiv · cs.AI · Domenico Amato, Salvatore Calderaro, Giosu\`e Lo Bosco, Riccardo Rizzo, Filippo Vella2026-11-02 13:00 · 10 小时前模型评分30

GraphTFactor：基于图的蛋白质转录因子预测框架

GraphTFactor: A graph-based approach for proteins transcription factor prediction

导读

GraphTFactor 将蛋白质序列编码为图结构并直接分类转录因子，可处理变长输入且不设长度限制，在基准数据集上优于现有方法。该框架还提供开源软件包和交互式网页应用，用户可对自定义序列执行转录因子预测。

分类置信度

中 · 待人工复核

来源级别：媒体与个人

应用领域：医疗与生命科学、科学研究

事件类型：研究发布

证据摘录

“In this work, we propose GraphTFactor, a novel end-to-end framework that models protein sequences as graphs and directly classifies transcription factors.”
“To support reproducibility and practical adoption, we release an open-source software package and an interactive web application that let users easily perform TF prediction on custom sequences.”

来源：arXiv · cs.AI · arxiv.org