EfficientNet-resDDSC:一个混合深度学习模型,集成剩余块和扩展卷曲,用于在单细胞数据中推断基因因果关系

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Aimin Li1,2, Mingyue Li1, Rong Fei3,4

  • 1School of Computer Science and Engineering, Xi'an University of Technology, Xi'an, 710048, China.

Interdisciplinary sciences, computational life sciences
|November 22, 2024
PubMed
概括

一个新的深度学习模型,EfficientNet-resDDSC,准确地从单细胞RNA测序数据中推断基因因果关系. 这促进了基因调控网络的建设,以获得生物学见解和乳腺癌研究.

关键词:
因果关系是因果关系.深度学习是一种深度学习.扩展的卷曲扩大了卷曲.剩余的块是剩余的块.这就是scRNA-seqq.

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