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Zhen Zhang

Researcher at Johns Hopkins University

Publications -  224
Citations -  16297

Zhen Zhang is an academic researcher from Johns Hopkins University. The author has contributed to research in topics: Cancer & Medicine. The author has an hindex of 57, co-authored 189 publications receiving 13444 citations. Previous affiliations of Zhen Zhang include Medical University of South Carolina & Children's National Medical Center.

Papers
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Journal ArticleDOI

Mathematical modelling of transcriptional heterogeneity identifies novel markers and subpopulations in complex tissues

Niya Wang, +9 more
- 07 Jan 2016 - 
TL;DR: Convex analysis of mixtures (CAM) is described, a fully unsupervised in silico method, for identifying subpopulation marker genes directly from the original mixed gene expressions in scatter space that can improve molecular analyses in many biological contexts.
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The application of clinical proteomics to cancer and other diseases.

William Clarke, +2 more
- 04 Dec 2003 - 
TL;DR: Proteomic analyses are already widely in use for clinical studies ranging from cancer to other diseases such as cardiovascular disease, organ transplant, and pharmacodynamic studies, and studies must be carefully designed in order to differentiate true clinical differences in protein expression.
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UNDO: a Bioconductor R package for unsupervised deconvolution of mixed gene expressions in tumor samples

Niya Wang, +8 more
- 01 Jan 2015 - 
TL;DR: A novel unsupervised deconvolution method, within a well-grounded mathematical framework, to dissect mixed gene expressions in heterogeneous tumor samples, and results obtained suggest not only the existence of cell-specific MGs but also UNDO's ability to detect them blindly and correctly.
Journal ArticleDOI

Cancer Proteomics: In Pursuit of “True” Biomarker Discovery

Zhen Zhang, +1 more
- 01 Oct 2005 - 
TL;DR: A large number of reports on the clinical application of proteomics research for risk assessment, diagnosis, prognosis, and management of cancer have attracted high level of excitement.
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Evaluation of proteomic biomarkers associated with circulating microparticles as an effective means to stratify the risk of spontaneous preterm birth.

David E. Cantonwine, +8 more
- 01 May 2016 - 
TL;DR: Functional proteomic factors with associated biological processes that are already unique in their expression profiles at 10-12 weeks among women who go on to deliver spontaneously ≤ 34 weeks are identified to allow the stratification of patients at risk of spontaneous preterm birth before clinical presentation.