Xijin Ge

Xijin Ge, PhD

Associate Professor
South Dakota State University
Mathematics & Statistics
(605) 688-5845

Dr. Ge is an associate professor of bioinformatics at Department of Mathematics and Statistics, South Dakota State University. He teaches and conducts research in the general area of bioinformatics and computational biology.

Areas of expertise:
Bioinformatics, genomics

Selected publications:
Ge, XJ, (2017) Exploratory bioinformatics investigation reveals importance of “junk” DNA in early embryo development, BMC genomics 18 (1), 200.

Ge, XJ, (2017) iDEP: An integrated web application for differential expression and pathway analysis, BioRxiv 2017. https://doi.org/10.1101/148411

Ling, M.H.T., Ban, Y.G., Wen, H.X., Wang, S.M., and Ge, S.X. (2013). Conserved expression of natural antisense transcripts in mammals. BMC Genomics 14:243

Graham, K., Ge, X.J., de las Morenas, A., Tripathi, A., and Rosenberg, C.L. (2011). Gene Expression Profiles of Estrogen Receptor-Positive and Estrogen Receptor-Negative Breast Cancers Are Detectable in Histologically Normal Breast Epithelium. Clin Cancer Res 17, 236-246.

Ge, S.X. (2011). Large-scale analysis of expression signatures reveals hidden links among diverse cellular processes. BMC Syst Biol 5, 87.

Shi, L.M., Campbell, G., Jones, et al. (2010). The MicroArray Quality Control (MAQC)-IIII study of common practices for the development and validation of microarray-based predictive models. Nat Biotechnol 28, 827-U109.

Ge, X.J., Rubinstein, W.S., Jung, Y.C., and Wu, Q.F. (2008). Genome-wide analysis of antisense transcription with Affymetrix exon array. BMC Genomics 9:27

Ge, X.J., Wu, Q.F., and Wang, S.M. (2006). SAGE detects microRNA precursors. BMC Genomics 7:285

Ge, X.J., Wu, Q.F., Jung, Y.C., Chen, J., and Wang, S.M. (2006). A large quantity of novel human antisense transcripts detected by LongSAGE. Bioinformatics 22, 2475-2479.

Ge, X.J., Yamamoto, S., Tsutsumi, S., Midorikawa, Y., Ihara, S., Wang, S.M., and Aburatani, H. (2005). Interpreting expression profiles of cancers by genome-wide survey of breadth of expression in normal tissues. Genomics 86, 127-141.


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