scispace - formally typeset
N

Ni Zhao

Researcher at Johns Hopkins University

Publications -  76
Citations -  7725

Ni Zhao is an academic researcher from Johns Hopkins University. The author has contributed to research in topics: Medicine & Microbiome. The author has an hindex of 23, co-authored 59 publications receiving 5907 citations. Previous affiliations of Ni Zhao include National Institutes of Health & University of North Carolina at Chapel Hill.

Papers
More filters
Journal ArticleDOI

Comprehensive genomic characterization of head and neck squamous cell carcinomas

Michael S. Lawrence, +309 more
- 29 Jan 2015 - 
TL;DR: It is shown that human-papillomavirus-associated tumours are dominated by helical domain mutations of the oncogene PIK3CA, novel alterations involving loss of TRAF3, and amplification of the cell cycle gene E2F1.
Journal ArticleDOI

Integrated Genomic Characterization of Papillary Thyroid Carcinoma

Nishant Agrawal, +242 more
- 23 Oct 2014 - 
TL;DR: The genomic landscape of 496 PTCs is described and a reclassification of thyroid cancers into molecular subtypes that better reflect their underlying signaling and differentiation properties is proposed, which has the potential to improve their pathological classification and better inform the management of the disease.
Journal ArticleDOI

Characterization of HPV and host genome interactions in primary head and neck cancers.

Michael Parfenov, +314 more
TL;DR: A cohort of 279 head and neck cancers with next generation RNA and DNA sequencing is profiled to provide insight into the mechanisms by which HPV interacts with the human genome beyond expression of viral oncoproteins and suggest that specific integration events are an integral component of viraloncogenesis.
Journal ArticleDOI

Testing in microbiome-profiling studies with MiRKAT, the microbiome regression-based kernel association test

TL;DR: The microbiome regression-based kernel association test (MiRKAT), which directly regresses the outcome on the microbiome profiles via the semi-parametric kernel machine regression framework, is proposed and applied to real microbiome datasets to show that microbial communities are associated with smoking and with fecal protease levels after confounders are controlled for.