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Foundation models in plant molecular biology: advances, challenges, and future directions

Feng Xu, Tianhao Wu, Qian Cheng, Xiangfeng Wang, Jun Yan

MRBIGR: A versatile toolbox for genetic regulation inference from population-scale multi-omics data

Feng Xu, Qian Cheng, Songyu Liu, Shuqin Jiang, Jianan Zhang, Xiaowei Mao, Xiangfeng Wang, Jinsheng Lai, Jun Yan

Machine Learning for AI Breeding in Plants

Qian Cheng, Xiangfeng Wang

iFLAS: positive-unlabeled learning facilitates full-length transcriptome-based identification and functional exploration of alternatively spliced isoforms in maize

Feng Xu, Songyu Liu, Anwen Zhao, Meiqi Shang, Qian Wang, Shuqin Jiang, Qian Cheng, Xingming Chen, Xiaoguang Zhai, Jianan Zhang, Xiangfeng Wang, Jun Yan

G2P Provides an Integrative Environment for Multi-model genomic selection analysis to improve genotype-to-phenotype prediction

Qian Wang, Shan Jiang, Tong Li, Zhixu Qiu, Jun Yan, Ran Fu, Chuang Ma, Xiangfeng Wang, Shuqin Jiang, Qian Cheng

Modeling the influence of phenotypic plasticity on maize hybrid performance

Ran Fu, Xiangfeng Wang

IP4GS:Bringing genomic selection analysis to breedersBringing genomic selection analysis to breeders

Tong Li, Shan Jiang, Ran Fu, Xiangfeng Wang, Qian Cheng, Shuqin Jiang

Machine learning bridges omics sciences and plant breeding

Jun Yan, Xiangfeng Wang

Unsupervised and semi-supervised learning: the next frontier in machine learning for plant systems biology

Jun Yan, Xiangfeng Wang

MODAS: exploring maize germplasm with multi-omics data association studies

Songyu Liu, Feng Xu, Yuetong Xu, Qian Wang, Jun Yan, Jinyu Wang, Xianbing Wang, Xiangfeng Wang