A hybrid 1DCNN-GRU deep learning framework for classifying caprine granulosa cell fertility potential using single-cell transcriptomics
Background and Aim: Granulosa cells (GCs) are crucial mediators of follicular development and oocyte competence in goats, with their gene expression profiles serving as potential biomarkers of fertility. However, the lack of a standardized, quantifiable method to assess GC quality using transcriptom...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Veterinary World
2025-07-01
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| Series: | Veterinary World |
| Subjects: | |
| Online Access: | https://www.veterinaryworld.org/Vol.18/July-2025/13.pdf |
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