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EfficientNet-resDDSC: A Hybrid Deep Learning Model Integrating Residual Blocks and Dilated Convolutions for Inferring Gene Causality in Single-Cell Data

Crossref DOI link: https://doi.org/10.1007/s12539-024-00667-2

Published Online: 2024-11-22

Published Print: 2025-03

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Li, Aimin

Li, Mingyue

Fei, Rong

Mallik, Saurav

Hu, Bo

Yu, Yue
Funding

Funding for this research was provided by:

Innovative Research Group Project of the National Natural Science Foundation of China (62120106011)

Education Department of Shaanxi Province (21JC026)

Natural Science Basic Research Program of Shaanxi Province (2024JC-YBMS-484)
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Text and Data Mining valid from 2024-11-22

Version of Record valid from 2024-11-22
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Article History

Received: 29 April 2024

Revised: 7 October 2024

Accepted: 9 October 2024

First Online: 22 November 2024

Declarations

:

: The authors declare that they have no competing interests.

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