Title |
Curation-free biomodules mechanisms in prostate cancer predict recurrent disease
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Published in |
BMC Medical Genomics, May 2013
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DOI | 10.1186/1755-8794-6-s2-s4 |
Pubmed ID | |
Authors |
James L Chen, Alexander Hsu, Xinan Yang, Jianrong Li, Younghee Lee, Gurunadh Parinandi, Haiquan Li, Yves A Lussier |
Abstract |
Gene expression-based prostate cancer gene signatures of poor prognosis are hampered by lack of gene feature reproducibility and a lack of understandability of their function. Molecular pathway-level mechanisms are intrinsically more stable and more robust than an individual gene. The Functional Analysis of Individual Microarray Expression (FAIME) we developed allows distinctive sample-level pathway measurements with utility for correlation with continuous phenotypes (e.g. survival). Further, we and others have previously demonstrated that pathway-level classifiers can be as accurate as gene-level classifiers using curated genesets that may implicitly comprise ascertainment biases (e.g. KEGG, GO). Here, we hypothesized that transformation of individual prostate cancer patient gene expression to pathway-level mechanisms derived from automated high throughput analyses of genomic datasets may also permit personalized pathway analysis and improve prognosis of recurrent disease. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 5 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 4 | 80% |
Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Korea, Republic of | 1 | 5% |
Netherlands | 1 | 5% |
Unknown | 20 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
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Other | 4 | 18% |
Student > Ph. D. Student | 4 | 18% |
Student > Bachelor | 3 | 14% |
Professor | 2 | 9% |
Student > Master | 2 | 9% |
Other | 2 | 9% |
Unknown | 5 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 7 | 32% |
Computer Science | 3 | 14% |
Agricultural and Biological Sciences | 3 | 14% |
Sports and Recreations | 1 | 5% |
Psychology | 1 | 5% |
Other | 0 | 0% |
Unknown | 7 | 32% |