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Poster on Deep Learning-Based Prediction of High-Yield Wheat Transcriptomes Using Network Biology and Gene Expression Analysis

Domain:

agriculture

Record type:

poster
Creator:
NaqAmi
Publisher:
fig
Host:avatar
This study integrates transcriptomic analysis, network biology, and deep learning to identify key genes associated with high-yield wheat varieties. Differentially expressed genes were analysed using functional enrichment and protein-protein interaction networks, leading to the identification of significant hub genes. Artificial Neural Networks were employed to predict yield-related transcriptomic patterns, demonstrating the potential of AI-driven approaches for precision breeding and sustainable agricultural development.

Visit

doi.orgfigshare.com

Tags

Agricultural hydrologyBioinformatic methods developmentBioinformatics and computational biology not elsewhere classifiedGenomics and transcriptomicsSustainable agricultural developmentAgriculture, land and farm management not elsewhere classified

Licenses

Creative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

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