Synthesizing Time-Series Gene Expression Data to Enhance Network Inference Performance Using Autoencoder
It is a challenge to infer a gene regulatory network from time-series gene expression data in the systems biology field. A lack of gene expression data samples is a factor limiting the performance of the inference methods. To resolve this problem, we propose a novel autoencoder-based approach that s...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/10/5768 |
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