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Yunhu Wan

Researcher at National Institutes of Health

Publications -  34
Citations -  27127

Yunhu Wan is an academic researcher from National Institutes of Health. The author has contributed to research in topics: DNA methylation & Population. The author has an hindex of 23, co-authored 34 publications receiving 16388 citations.

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Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2

Evan Bolyen, +123 more
- 01 Aug 2019 - 
TL;DR: QIIME 2 development was primarily funded by NSF Awards 1565100 to J.G.C. and R.K.P. and partial support was also provided by the following: grants NIH U54CA143925 and U54MD012388.
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Comprehensive, Integrative Genomic Analysis of Diffuse Lower-Grade Gliomas.

Daniel J. Brat, +306 more
TL;DR: The integration of genomewide data from multiple platforms delineated three molecular classes of lower-grade gliomas that were more concordant with IDH, 1p/19q, and TP53 status than with histologic class.

The Molecular Taxonomy of Primary Prostate Cancer

Adam Abeshouse, +309 more
TL;DR: A comprehensive molecular analysis of 333 primary prostate carcinomas revealed a molecular taxonomy in which 74% of these tumors fell into one of seven subtypes defined by specific gene fusions (ERG, ETV1/4, and FLI1) or mutations (SPOP, FOXA1, and IDH1).
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Comprehensive Molecular Characterization of Muscle-Invasive Bladder Cancer

A. Gordon Robertson, +170 more
- 19 Oct 2017 - 
TL;DR: An analysis of 412 muscle-invasive bladder cancers characterized by multiple TCGA analytical platforms identified 5 expression subtypes that may stratify response to different treatments and identified a poor-survival "neuronal" subtype in which the majority of tumors lacked small cell or neuroendocrine histology.
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Comprehensive and Integrative Genomic Characterization of Hepatocellular Carcinoma

Adrian Ally, +235 more
- 15 Jun 2017 - 
TL;DR: Integrative molecular HCC subtyping incorporating unsupervised clustering of five data platforms identified three subtypes, one of which was associated with poorer prognosis in three HCC cohorts and development of a p53 target gene expression signature correlating with poor survival was enabled.