Shin-Han Shiu, Ph.D.
Affiliations: | 2001 | University of Wisconsin, Madison, Madison, WI |
Area:
Botany Biology, Molecular BiologyGoogle:
"Shin-Han Shiu"Parents
Sign in to add mentor| Anthony B. Bleecker | grad student | 2001 | UW Madison | |
| (Characterization of the receptor -like kinase TMK1 and molecular evolution of the receptor-like kinase gene family in Arabidopsis thaliana.) | ||||
Children
Sign in to add trainee| Guangxi Wu | grad student | 2013 | Michigan State |
| Gaurav Moghe | grad student | 2007-2013 | Michigan State (Chemistry Tree) |
Collaborators
Sign in to add collaborator| Robert L. Last | collaborator | Michigan State (Chemistry Tree) |
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Publications
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| Aranguiz K, Horianopoulos LC, Elkin L, et al. (2025) Machine learning reveals genes impacting oxidative stress resistance across yeasts. Nature Communications. 16: 5866 |
| Wang P, Lehti-Shiu MD, Lotreck S, et al. (2024) Prediction of plant complex traits via integration of multi-omics data. Nature Communications. 15: 6856 |
| Ranaweera T, Brown BNI, Wang P, et al. (2022) Temporal regulation of cold transcriptional response in switchgrass. Frontiers in Plant Science. 13: 998400 |
| Noble JA, Bielski NV, Liu MJ, et al. (2022) Evolutionary analysis of the LORELEI gene family in plants reveals regulatory subfunctionalization. Plant Physiology |
| Liu WY, Yu CP, Chang CK, et al. (2022) Regulators of early maize leaf development inferred from transcriptomes of laser capture microdissection (LCM)-isolated embryonic leaf cells. Proceedings of the National Academy of Sciences of the United States of America. 119: e2208795119 |
| Moore BM, Lee YS, Wang P, et al. (2021) Modeling temporal and hormonal regulation of plant transcriptional response to wounding. The Plant Cell |
| Noble JA, Seddon A, Uygun S, et al. (2021) The SEEL motif and members of the MYB-related REVEILLE transcription factor family are important for the expression of LORELEI in the synergid cells of the Arabidopsis female gametophyte. Plant Reproduction |
| Cusack SA, Wang P, Lotreck SG, et al. (2021) Predictive models of genetic redundancy in Arabidopsis thaliana. Molecular Biology and Evolution |
| Wang P, Moore BM, Uygun S, et al. (2021) Optimizing the use of gene expression data to predict plant metabolic pathway memberships. The New Phytologist |
| Moore BM, Wang P, Fan P, et al. (2020) Within- and cross-species predictions of plant specialized metabolism genes using transfer learning. In Silico Plants. 2: diaa005 |