PUBLICATIONS:

    2016:
  1. Zhang C, Sheng T,Cao S, Issa-Boube S, Tang T, Zhu X, Dong N, Du W, Xu Y. Autophagy in Cancer Cells vs Cancer Tissues: two different stories. [Book] Targeting Autophagy in Cancer Therapy, ed. J. Yang. 2016: Springer.
  2. Sun H, Zhang C, Dong N, Tao S, Xu Y. Fenton Reactions Are a Fundamental Driver of Cell Division in Cancer. Under review. (2016)
  3. Zhang C, Cao S, Chen X, Ma Q, Xu Y. A probabilistic model-based bi-clustering method for single-cell transcriptomic data analysis. Ready for Submission. (2016)
  4. Zhang C, Yao F, Dong N, Du W, Tang T, Cao S, Sheng T, Chen X, Xu Y. A Pan-inflammatory and precancerous disease analysis reveals key biological characteristics in cancer risking chronic inflammatory disease types. Ready for Submission. (2016)
  5. Zhang C, Sheng T, Cao S, Ma Q, Xu Y. A biclustering based method for prediction of gain or loss of function of somatic mutations. Ready for Submission. (2016)
  6. 2015:
  7. Zhang C+, Chao L, Cao S+ and Xu Y. Elucidation of Divers of High-Level Production of Lactates throughout a Cancer Development. Journal of Molecular Cell Biology. (2015) DOI: 10.1093/jmcb/mjv031
  8. Liu C+, Zhang C+, Su J, Zhang DS, Cao S. Stresses drive a cancer's initiation, progression and metastasis: Critical comments on the book "Cancer Bioinformatics". Journal of bioinformatics and computational biology. (2015) DOI: 10.1142/S021972001571002X
  9. Cao S+, Zhang C+, and Xu Y. Somatic Mutations May Not Be the Primary Drivers of Cancer Formation. International Journal of Cancer. (2015) DOI: 10.1002/ijc.29639
  10. Yao F+, Zhang C+, Du W, Liu C, Xu Y. Identification of Gene-expression Signatures and Protein Markers for Breast Cancer Grading and Staging. Plos One. (2015) DOI: 10.1371/journal.pone.0138213
  11. Chen X, Ma Q, Rao XL, Tang YH, Zhang C, Wang Y, Lo GY, Mao XZ, Dixon R and Xu Y. Genome-Scale Identification of Cell-Wall Related Genes in Switchgrass through Comparative Genomics and Computational Analyses of Transcriptomic Data, BioEnergy Research. (2015) DOI:10.1007/?s12155-015-9674-2
  12. 2014:
  13. Zhang C, Cao S, Toole B, and Xu Y. (2014) Cancer may be a pathway to cell survival under persistent hypoxia and elevated ROS: A model for solid-cancer initiation and early development. International Journal of Cancer: DOI: 10.1002/ijc.28975.
  14. Zhang C, Cao S and Xu Y. (2014) Population Dynamics inside Cancer Biomass Driven by Repeated Hypoxia-Reoxygenation Cycles. Quantitative Biology. Doi: 10.1007/s40484-014-0032-8
  15. Cui J, Mao X, Ma Q, Zhou W, Zhang C, et al. (2014) Comprehensive characterization of the genomic alterations in human gastric cancer. International Journal of Cancer. DOI: 10.1002/ijc.29352
  16. Before 2013:
  17. Xu K, Mao X, Cui J, Zhang C, et al. (2013) Elucidation of How Cancer Cells Avoid Acidosis through Comparative Transcriptomic. PLOS ONE. DOI: 10.1371/journal.pone.0071177
  18. Xu K, Mao X, Mehta M, Cui J, Zhang C, et al. (2012) A Comparative Study of Gene-Expression Data of Basal Cell Carcinoma and Melanoma Reveals New Insights about the Two Cancers. PLOS ONE 7(1): e30750. DOI:10.1371/journal.pone.0030750
  19. (+ for co-first author)

CONFERENCE TALKS:

Aug 11th 2015
"Cancer is not a bad luck disease" at 2015 Joint Statistical Meetings, Seattle

Jul 10th 2015
"Modelling large biological network and deciphering cancer micro-environmental stresses by multiple data types" a joint seminar with ICSB2015 at Jilin University, Changchun, China

CONFERENCE POSTERS:

Feb 24th 2014
"Prediction of transcriptional regulatory logic in Clostridium Thermocellum ATCC 27405" at the RNA Symposium hosted by Department of Biochemistry and Molecular Biology, UGA

Nov 7th-9th 2013
"Flux estimation analysis (FEA) reveals key alterations of metabolic flux in colorectal cancer" at the 9th international conference on Bioinformatics, Georgia tech.

Jul 22nd-25th 2013
"Prediction of transcriptional regulatory logic in Clostridium Thermocellum ATCC 27405" at the BESC (Bio-energy Science Center) retreat 2013, Chattanooga, TN

INVITED TALKS:

Mar 9th 2016
"Understanding Malignant Transformation from Chronic Inflammation: a data mining approach.". Department of Computational Medicine & Bioinformatics, University of Michigan

Feb 26th 2016
"Understanding Malignant Transformation from Chronic Inflammation: a data mining approach.". Institute of Bioinformatics, the University of Georgia

Jan 4th 2016
"Understanding Malignant Transformation from Chronic Inflammation: a data mining approach.". Center for Computational Biology and Bioinformatics. Indiana University, Medical School

Oct 16th 2015
"A Pan-inflammatory and precancerous disease analysis reveals key biological characteristics in cancer risking chronic inflammatory disease types.". Department of Biostatistics and Bioinformatics, Emory University

Sep 26th 2015
"A biclustering based method for prediction of gain or loss of function of somatic mutations". Institute of Bioinformatics, the University of Georgia

Nov 21st 2014
"Identification of dynamic cell populations in cancer biomass in response to repeated hypoxia and reoxygenation". Department of Biostatistics and Bioinformatics, Emory University

Nov 14th 2014
"Identification of dynamic cell populations in cancer biomass in response to repeated hypoxia and reoxygenation". Institute of Bioinformatics, the University of Georgia

Aug 11th 2014
"Cancer may be a pathway to cell survival under persistent hypoxia and elevated ROS - a model of cancer initiation". Dr. Jun Liu's lab, Department of Statistics, Harvard University

Jul 22nd 2014
"Models of cancer development driven by micro-environmental stresses". Dr. Zhiping Weng's lab, University of Massachusetts Medical School

Jun 19th 2013
"Computational modelling of biological networks". Norman Bethune University of Medical Science, Changchun, China

Jun 2011
"Introduction of bioinformatics and cancer bioinformatics to undergraduates". School of Mathematical Sciences, Peking University, Beijing, China