已发表的部分论文： # 同等贡献，* 通讯作者
1. He F, Pasam R, Shi F, …, Hayden M, Akhunov E. Exome sequencing highlights the role of wild relative introgression in shaping the adaptive landscape of the wheat genome. Nature Genetics 2019, 51, 896–904
2. Jordan K#, He F#, Fernandez M, Akhunova A, Akhunov E. Differential chromatin accessibility landscape reveals the structural and functional features of the allopolyploid wheat chromosomes. Genome Biology 2020, 21:176
3. He F, Yoo S, Wang D, Kumari S, Gerstein M, Ware D, Maslov S. Large-scale atlas of microarray data reveals the distinct expression landscape of different tissues in Arabidopsis. Plant Journal 2016, 86:472–480.
4. He F#, Zhou Y#, Zhang Z. Deciphering the Arabidopsis floral transition process by integrating a protein-protein interaction network and gene expression data. Plant Physiology 2010, 153(4):1492-505
5. He F, Zhang Y, Chen H, Zhang Z, Peng Y-L. The prediction of protein-protein interaction networks in rice blast fungus. BMC Genomics 2008, 9:519
6. Du Z#, He F#, Yu Z, Bowerman B, Bao Z. E3 ubiquitin ligases promote progression of differentiation during C. elegans embryogenesis. Developmental Biology 2015, 398:267–279
7. Xiao L, Zhao Z, He F*, Du Z*. Multivariable regulation of gene expression plasticity in metazoans. Open Biology 2019, 9(12):190150.
8. Qi H, Jiang Z, Zhang K, Yang S, He F*, Zhang Z*. PlaD: A Transcriptomics Database for Plant Defense Responses to Pathogens, Providing New Insights into Plant Immune System. Genomics, Proteomics&Bioinformatics 2018, 16(4):283-293
9. He F*, Karve AA, Maslov S, Babst BA. Large-Scale Public Transcriptomic Data Mining Reveals a Tight Connection between the Transport of Nitrogen and Other Transport Processes in Arabidopsis. Frontiers in Plant Science 2016, 11;7:1207.
10. He F*, Maslov S*. Pan-and core-network analysis of co-expression genes in a model plant. Scientific Reports 2016, 6:38956.
11. Arkin AP, et al. KBase: The United States Department of Energy Systems Biology Knowledgebase. Nature Biotechnology 2018, 36:566–569.
12. Wang D, He F, Maslov S, Gerstein M. DREISS: Using State-Space Models to Infer the Dynamics of Gene Expression Driven by External and Internal Regulatory Networks. PLoS Computational Biology 2016, 19;12(10):e1005146
