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在转录因子多重体上嵌入结构前置使基因调节网络和潜在活动推断的透明模型架构成为可能

Andreas Tjärnberg1,2,3,4,5, Maggie Beheler-Amass6,7, Christopher A Jackson6,7

  • 1Center for Developmental Genetics, New York University, New York, NY, 10003, USA. andreas.tjarnberg@fripost.org.

Genome biology
|January 18, 2024
PubMed
概括

我们开发了SupirFactor,这是一种新的深度学习框架,用于推断基因调节网络 (GRNs) 和转录因子活性 (TFA). 这种方法通过提供复杂的监管相互作用的可解释模型来改善生物洞察力.

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