Leveraging weighted embedding and Transformer architecture to improve phenotype prediction of complex traits for crops

Journal:

Nature Communications

Published:

2026-03-26

DOI:

10.1038/s41467-026-71035-5

Affiliations:

4

Authors:

14

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Institutions	Authors	Share
State Key Laboratory of Crop Gene Resources and Breeding, ICS CAAS, China	10.000000 10.000000	0.71
Institute of Environment and Sustainable Development in Agriculture, CAAS, China	2.000000	0.14
Bayero University Kano (BUK), Nigeria	1.000000	0.07
University of Copenhagen (UCPH), Denmark	1.000000	0.07

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