SEAMoD:一种完全可解释的神经网络,用于对差异表达基因的 cis 调节性分析
Shounak Bhogale1, Chris Seward2, Lisa Stubbs2
1Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
bioRxiv : the preprint server for biology
|November 28, 2023
概括
SEAMoD是一种新的工具,可以同时从增强器序列中找到转录因子 (TF) 动机和模型基因表达. 它识别了神经干细胞分化中的Olig2和Tcf4等关键调节体.
科学领域:
- 计算生物学和基因组学
- 分子生物学和表观遗传学
- 系统生物学 系统生物学
背景情况:
- 研究基因调控机制通常涉及转录学,表观遗传学和生物信息学,用于TF动机识别.
- 基于增强子序列的基因表达模型和TF动机排名对于优先考虑基因调节者至关重要.
结论:
- SEAMoD提供了一种强大且可解释的方法来剖析基因调节网络.
- 进一步了解神经干细胞分化过程中的转录调节.
- 强调了基因组学研究中集成序列表达模型的实用性.
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