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

J Jing Li L Linfeng Yu (State Key Laboratory of Chemical Resource Engineering, College of Chemistry) M Mengfan Li (State Key Laboratory of Chemical Biology & Center of Pharmaceutics) R Rui Han Y Yecheng Li (State Key Laboratory of Inorganic Synthesis and Preparative Chemistry, College of Chemistry) A Abdulwahab Saliu Shaibu K Kwadwo Gyapong Agyenim-Boateng Z Zhaoyi Hao Y Yitian Liu B Bin Li S Shengrui Zhang L Liang Li L Lijuan Qiu J Junming Sun

Article Details

Volume / Issue Vol. 17, Issue 1
Published March 26, 2026
ISSN 2041-1723
Publisher Nature Portfolio

Journal Info

Nature Communications

Nature Portfolio

ISSN: 2041-1723 Open Access Life Sciences

Authors (14)

J

Jing Li

L

Linfeng Yu

State Key Laboratory of Chemical Resource Engineering, College of Chemistry

M

Mengfan Li

State Key Laboratory of Chemical Biology & Center of Pharmaceutics

R

Rui Han

Y

Yecheng Li

State Key Laboratory of Inorganic Synthesis and Preparative Chemistry, College of Chemistry

A

Abdulwahab Saliu Shaibu

K

Kwadwo Gyapong Agyenim-Boateng

Z

Zhaoyi Hao

Y

Yitian Liu

B

Bin Li

S

Shengrui Zhang

L

Liang Li

L

Lijuan Qiu

J

Junming Sun