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School of Medicine
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Zhen Zhang, Ph.D.
Director, Bioinformatics and Biostatistics, Center for Biomarker Discovery and Translation
Associate Professor of Pathology
Research Interests: Ovarian neoplasms; Cancer; Proteomics; Biomarker development; Biomarker discovery; Mathematical algorithms; Biostatistics; Bioinformatics
Dr. Zhen Zhang is an associate professor of pathology at the Johns Hopkins University School of Medicine. An expert in bioinformatics and biostatistics, he is an investigator in both the Division of Clinical Chemistry and the Sidney Kimmel Comprehensive Cancer Center.
Dr. Zhang’s research focuses on developing bioinformatics tools that can be applied to clinical diagnoses. He and Johns Hopkins colleague Dr. Daniel Chan developed the first FDA-cleared in vitro diagnostic multivariate index assay, the OVA1 test for ovarian cancer.
He serves as the director of bioinformatics and biostatistics in the Department of Pathology’s Center for Biomarker Discovery and Translation. The center studies applications of proteomic technologies in pathology.
Dr. Zhang has published more than 80 scholarly articles, particularly in the field of bioinformatics.
- Director, Bioinformatics and Biostatistics, Center for Biomarker Discovery and Translation
- Associate Professor of Pathology
- Associate Professor of Oncology
Research & Publications
Dr. Zhang’s research interests are in the development and application of bioinformatics tools for clinical diagnoses.
What used to be considered as a single diagnosis may actually consist of a number of different phenotypes with distinguished disease pathways and varying genomic and proteomic expression patterns.
Dr. Zhang’s team is working to derive new mathematical and computational algorithms to identify such patterns for biomarker discovery—and to use them to establish predictive models for the diagnosis and management of diseases.
Researchers currently are focused on tumor marker discovery using high-throughput proteomics approaches.
Dr. Zhang is the Director of Bioinformatics and Biostatistics in the Department of Pathology’s Center for Biomarker Discovery and Translation.
The center studies applications of proteomic technologies in pathology. The goal is to characterize tumors and biospecimens to identify, prioritize and verify cancer-related proteins for the development of biomarkers.
- Zhang Z, Bast RC Jr, Yu Y, Li J, Sokoll LJ, Rai AJ, Rosenzweig JM, Cameron B, Wang YY, Meng XY, Berchuck A, Van Haaften-Day C, Hacker NF, de Bruijn HW, van der Zee AG, Jacobs IJ, Fung ET, Chan DW. "Three biomarkers identified from serum proteomic analysis for the detection of early stage ovarian cancer." Cancer Res. 2004; 64(16):5882-90.
- Buckhaults P, Zhang Z, Chen YC, Wang TL, St Croix B, Saha S, Bardelli A, Morin PJ, Polyak K, Hruban RH, Velculescu VE, Shih IeM. "Identifying tumor origin using a gene expression-based classification map." Cancer Res. 2003; 63(14):4144-9.
- Zhang Z. "Combining Multiple Biomarkers in Clinical Diagnostics - A review of Methods and Issues." In: Diamandis EP, Fritsche HA, Lilja H,Chan DW, Schwartz MK, eds. "Tumor Markers: Physiology, Pathobiology, Technology and Clinical Applications." AACC Press, Washington, DC, 2002.
- Li J, Zhang Z, Rosenzweig J, Wang Y, Chan DW. "Proteomics and bioinformatics approaches for identification of serum biomarkers to detect breast cancer." Clin. Chem. 2002 Aug;48(8):1296-1304.
- Zhang Z, Barnhill SD, Zhang H, Xu F, Yu Y, Jacobs I, Woolas RP, Berchuck A, Madyastha KR, Bast RC Jr. "Combination of multiple serum markers using an artificial neural network to improve specificity in discriminating malignant from benign pelvic masses." Gynecol Oncol. 1999; 73(1):56-61.
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