Professor | Yan Jun | Asia Growth Partners

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Name	Yan Jun
Contact Information	yanjun_AT_cau.edu.cn
Language ability	Chinese, English
Province	Beijing

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Name

Yan Jun

Contact Information

yanjun_AT_cau.edu.cn

Language ability

Chinese, English

Province

Beijing

University/Lab Affiliation and Title	China Agricultural University
Faculty	Veterinary Medicine
Academic Background & Achievements	2016-2020 PhD in Crop Genetics and Breeding, China Agricultural University 2008-2011 Master of Science in Marine Biology, Tsinghua University 2004-2008 Bachelor of Science in Biological Sciences, China Agricultural University

University/Lab Affiliation and Title

China Agricultural University

Faculty

Veterinary Medicine

Academic Background & Achievements

2016-2020 PhD in Crop Genetics and Breeding, China Agricultural University
2008-2011 Master of Science in Marine Biology, Tsinghua University
2004-2008 Bachelor of Science in Biological Sciences, China Agricultural University

Areas of Focus	Plant Genomics and Bioinformatics
Publications	iFLAS: positive-unlabeled learning facilitates full-length transcriptome-based identification and functional exploration of alternatively spliced isoforms in maize, Xu F, Liu S, Zhao A, Shang M, Wang Q, Jiang S, Cheng Q, Chen X, Zhai X, Zhang J, Wang X, Yan J, 2024 G2P Provides an Integrative Environment for Multi-model genomic selection analysis to improve genotype-to-phenotype prediction, Wang Q, Jiang S, Li T, Qiu Z, Yan J, Fu R, Ma C, Wang X, Jiang S, Cheng Q, 2023 Machine learning bridges omics sciences and plant breeding, Yan J, Wang X, 2023 Unsupervised and semi-supervised learning: the next frontier in machine learning for plant systems biology, Yan J, Wang X, 2022 MODAS: exploring maize germplasm with multi-omics data association studies, Liu S, Xu F, Xu Y, Wang Q, Yan J, Wang J, Wang X, Wang X, 2022

Areas of Focus

Plant Genomics and Bioinformatics

Publications

iFLAS: positive-unlabeled learning facilitates full-length transcriptome-based identification and functional exploration of alternatively spliced isoforms in maize, Xu F, Liu S, Zhao A, Shang M, Wang Q, Jiang S, Cheng Q, Chen X, Zhai X, Zhang J, Wang X, Yan J, 2024
G2P Provides an Integrative Environment for Multi-model genomic selection analysis to improve genotype-to-phenotype prediction, Wang Q, Jiang S, Li T, Qiu Z, Yan J, Fu R, Ma C, Wang X, Jiang S, Cheng Q, 2023
Machine learning bridges omics sciences and plant breeding, Yan J, Wang X, 2023
Unsupervised and semi-supervised learning: the next frontier in machine learning for plant systems biology, Yan J, Wang X, 2022
MODAS: exploring maize germplasm with multi-omics data association studies, Liu S, Xu F, Xu Y, Wang Q, Yan J, Wang J, Wang X, Wang X, 2022

Genomics Bioinformatics Machine Learning Artificial Intelligence Genome Selection Breeding Models Trait Mining Regulatory Patterns Multi-Omics Data Mining

Xiaoyu Tu - Shanghai Jiao Tong University

Hainan Zhao - China Agricultural University

Yuanjun Wang - University of Shanghai for Science and Technology

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