Review of AI Methods for Plant Genomic Prediction and Multi-Omics Analysis

A 16.8 KB review document authored by Tong Wang and published on figshare in April 2026. The text outlines the transition from traditional genetic mapping to artificial intelligence-enabled approaches for plant trait analysis. It summarizes major statistical and AI methods and describes strategies for combining genomic, transcriptomic, metabolomic, phenotypic, and environmental data.

Use Cases

• Literature review on AI methods for genomic prediction based on the described transition from traditional frameworks.
• Understanding strategies for multi-omics data integration based on the description of combining genomic, transcriptomic, metabolomic, phenotypic, and environmental data.
• Exploring model architectures for biological networks based on the mention of graph-based and Transformer models.
• Investigating transfer learning and foundation models in plant genomics based on the discussion of cross-species transfer and emerging foundation-style models.

Strengths

• Document is under a permissive CC-BY-4.0 license.
• File size is precisely 16.8 KB.
• Last update timestamp is explicitly provided as 2026-04-16 22:01:16.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The dataset is a 16.8 KB review document, indicating a very limited scope of primary data.

Provenance

Source

figshare, authored by Tong Wang.

Collection Method

Likely a literature review and synthesis.

Time Range

Publication date is 2026-04-16.

Freshness

Last updated 2026-04-16 22:01:16; freshness should be verified.

Geography

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