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David N. Hayes

Researcher at University of North Carolina at Chapel Hill

Publications -  87
Citations -  8344

David N. Hayes is an academic researcher from University of North Carolina at Chapel Hill. The author has contributed to research in topics: Head and neck squamous-cell carcinoma & Head and neck cancer. The author has an hindex of 22, co-authored 87 publications receiving 7058 citations. Previous affiliations of David N. Hayes include University of Tennessee Health Science Center & University of Tennessee.

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Integrated genomic analyses of ovarian carcinoma

Daphne W. Bell, +261 more
TL;DR: The Cancer Genome Atlas project has analyzed messenger RNA expression, microRNA expression, promoter methylation and DNA copy number in 489 high-grade serous ovarian adenocarcinomas and the DNA sequences of exons from coding genes in 316 of these tumours as mentioned in this paper.
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Origins and functional consequences of somatic mitochondrial DNA mutations in human cancer

TL;DR: This study analyzed somatic alterations in mtDNA from 1675 tumors and identified 1907 somatic substitutions, which exhibited dramatic replicative strand bias, predominantly C > T and A > G on the mitochondrial heavy strand.
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Comparison of RNA-Seq by poly (A) capture, ribosomal RNA depletion, and DNA microarray for expression profiling

TL;DR: Ribo-Zero-Seq provides equivalent rRNA removal efficiency, coverage uniformity, genome-based mapped reads, and consistently high quality quantification of transcripts, suggesting that RNA-Sequ can be used with FFPE-derived RNAs for gene expression profiling.
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Statistical Significance of Clustering for High-Dimension, Low–Sample Size Data

TL;DR: Simulated examples, as well as an application to a real cancer microarray data set, show that the proposed SigClust method works remarkably well for assessing significance of clustering.
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Integrative genomic profiling of large-cell neuroendocrine carcinomas reveals distinct subtypes of high-grade neuroendocrine lung tumors

Julie George, +66 more
TL;DR: It is shown LCNECs represent a distinct transcriptional subgroup among lung cancers and comprise two molecular subgroups, type I (TP53 and STK11/KEAP1 alterations) and type II ( TP53 and RB1 inactivation).