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Edison T. Liu

Researcher at Genome Institute of Singapore

Publications -  253
Citations -  29329

Edison T. Liu is an academic researcher from Genome Institute of Singapore. The author has contributed to research in topics: Cancer & Breast cancer. The author has an hindex of 74, co-authored 240 publications receiving 27912 citations. Previous affiliations of Edison T. Liu include National Institutes of Health & Agency for Science, Technology and Research.

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Journal ArticleDOI

The Transcriptional Landscape of the Mammalian Genome

Piero Carninci, +197 more
- 02 Sep 2005 - 
TL;DR: Detailed polling of transcription start and termination sites and analysis of previously unidentified full-length complementary DNAs derived from the mouse genome provide a comprehensive platform for the comparative analysis of mammalian transcriptional regulation in differentiation and development.
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Breast cancer classification and prognosis based on gene expression profiles from a population-based study

TL;DR: Gene expression patterns were found to be strongly associated with estrogen receptor (ER) status and moderately associated with grade, but not associated with menopausal status, nodal status, or tumor size, in an unselected group of 99 node-negative and node-positive breast cancer patients.
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International network of cancer genome projects

Thomas J. Hudson, +273 more
TL;DR: Systematic studies of more than 25,000 cancer genomes will reveal the repertoire of oncogenic mutations, uncover traces of the mutagenic influences, define clinically relevant subtypes for prognosis and therapeutic management, and enable the development of new cancer therapies.
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Genome-wide analysis of mammalian promoter architecture and evolution

TL;DR: These tagging methods allow quantitative analysis of promoter usage in different tissues and show that differentially regulated alternative TSSs are a common feature in protein-coding genes and commonly generate alternative N termini.
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An expression signature for p53 status in human breast cancer predicts mutation status, transcriptional effects, and patient survival

TL;DR: The p53 signature identified a subset of aggressive tumors absent of sequence mutations in p53 yet exhibiting expression characteristics consistent with p53 deficiency because of attenuated p53 transcript levels, showing the primary importance of p53 functional status in predicting clinical breast cancer behavior.