乳腺癌转移期间，上皮间质转化（EM）发育过程异常激活。调控EM转化的转录调节网络已经得到良好的研究；然而，替代性RNA剪接在此过程中也扮演着关键的调控角色。替代剪接已被证明能够控制EM转化过程，RNA结合蛋白被确定为其中的调节剪接因子。对于EM转化期间替代剪接和RNA结合蛋白以及它们的动态作用对于乳腺癌的全面理解仍然相对缺乏。为了精确地研究动态调控关系，EM转化过程的时间序列数据是必不可少的。然而，目前仅有上皮和间质标本的横断面数据可用。因此，我们开发了一种伪时间因果贝叶斯（PCB）方法来推断替代剪接事件和RNA结合蛋白之间的动态调控关系。我们的研究为识别重要的RNA结合蛋白或靶向替代剪接事件进行癌症诊断或治疗的调节网络方法提供了帮助。 PCB的数据和代码可在以下网址获取：http://hkumath.hku.hk/~wkc/PCB(data+code).zip。版权所有：©2023 Sun等人。本文是以开放获取方式发表的文章，允许在任何媒介上无限制使用、分发和复制，前提是保留原作者和资料来源的署名权。

During breast cancer metastasis, the developmental process epithelial-mesenchymal (EM) transition is abnormally activated. Transcriptional regulatory networks controlling EM transition are well-studied; however, alternative RNA splicing also plays a critical regulatory role during this process. Alternative splicing was proved to control the EM transition process, and RNA-binding proteins were determined to regulate alternative splicing. A comprehensive understanding of alternative splicing and the RNA-binding proteins that regulate it during EM transition and their dynamic impact on breast cancer remains largely unknown. To accurately study the dynamic regulatory relationships, time-series data of the EM transition process are essential. However, only cross-sectional data of epithelial and mesenchymal specimens are available. Therefore, we developed a pseudotemporal causality-based Bayesian (PCB) approach to infer the dynamic regulatory relationships between alternative splicing events and RNA-binding proteins. Our study sheds light on facilitating the regulatory network-based approach to identify key RNA-binding proteins or target alternative splicing events for the diagnosis or treatment of cancers. The data and code for PCB are available at: http://hkumath.hku.hk/~wkc/PCB(data+code).zip.Copyright: © 2023 Sun et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.