Tieming Ji, Ph.D.
Affiliations: | 2012 | Statistics | Iowa State University, Ames, IA, United States |
Area:
Statistics, Biostatistics BiologyGoogle:
"Tieming Ji"Parents
Sign in to add mentor| Dan Nettleton | grad student | 2012 | Iowa State | |
| (Borrowing information across genes and experiments for improved error variance estimation in microarray data analysis and statistical inferences for gene expression heterosis.) | ||||
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Publications
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| Yang H, Shi X, Chen C, et al. (2022) Genomic imbalance modulates transposable element expression in maize. Plant Communications. 100467 |
| Shi X, Yang H, Chen C, et al. (2022) Effect of aneuploidy of a nonessential chromosome on gene expression in maize. The Plant Journal : For Cell and Molecular Biology |
| Shi X, Yang H, Chen C, et al. (2021) Genomic imbalance determines positive and negative modulation of gene expression in diploid maize. The Plant Cell |
| Yang H, Shi X, Chen C, et al. (2021) Predominantly inverse modulation of gene expression in genomically unbalanced disomic haploid maize. The Plant Cell |
| Johnson AF, Hou J, Yang H, et al. (2020) Magnitude of modulation of gene expression in aneuploid maize depends on the extent of genomic imbalance. Journal of Genetics and Genomics = Yi Chuan Xue Bao |
| Shi X, Chen C, Yang H, et al. (2020) The Gene Balance Hypothesis: Epigenetics and Dosage Effects in Plants. Methods in Molecular Biology (Clifton, N.J.). 2093: 161-171 |
| Xie J, Ji T, Ferreira MAR, et al. (2019) Modeling allele-specific expression at the gene and SNP levels simultaneously by a Bayesian logistic mixed regression model. Bmc Bioinformatics. 20: 530 |
| Zhao Z, Meihls LN, Hibbard BE, et al. (2019) Differential gene expression in response to eCry3.1Ab ingestion in an unselected and eCry3.1Ab-selected western corn rootworm (Diabrotica virgifera virgifera LeConte) population. Scientific Reports. 9: 4896 |
| Hou J, Shi X, Chen C, et al. (2018) Global impacts of chromosomal imbalance on gene expression in and other taxa. Proceedings of the National Academy of Sciences of the United States of America |
| Ma C, Ji T. (2018) Detecting differentially expressed genes for syndromes by considering change in mean and dispersion simultaneously. Bmc Bioinformatics. 19: 330 |