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Gary K. Scott

Researcher at Buck Institute for Research on Aging

Publications -  76
Citations -  33574

Gary K. Scott is an academic researcher from Buck Institute for Research on Aging. The author has contributed to research in topics: Estrogen receptor & Cancer. The author has an hindex of 40, co-authored 74 publications receiving 29688 citations. Previous affiliations of Gary K. Scott include Queen's University & University of California, San Francisco.

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Comprehensive molecular portraits of human breast tumours

Daniel C. Koboldt, +355 more
- 04 Oct 2012 - 
TL;DR: The ability to integrate information across platforms provided key insights into previously defined gene expression subtypes and demonstrated the existence of four main breast cancer classes when combining data from five platforms, each of which shows significant molecular heterogeneity.
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Comprehensive molecular characterization of human colon and rectal cancer

Donna M. Muzny, +320 more
- 19 Jul 2012 - 
TL;DR: Integrative analyses suggest new markers for aggressive colorectal carcinoma and an important role for MYC-directed transcriptional activation and repression.

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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Comprehensive genomic characterization of squamous cell lung cancers

Peter S. Hammerman, +345 more
- 27 Sep 2012 - 
TL;DR: It is shown that the tumour type is characterized by complex genomic alterations, with a mean of 360 exonic mutations, 165 genomic rearrangements, and 323 segments of copy number alteration per tumour.
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Optimized high-throughput microRNA expression profiling provides novel biomarker assessment of clinical prostate and breast cancer biopsies

TL;DR: Findings demonstrate that optimized high-throughput microRNA expression profiling offers novel biomarker identification from typically small clinical samples such as breast and prostate cancer biopsies.