Title |
A new essential protein discovery method based on the integration of protein-protein interaction and gene expression data
|
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Published in |
BMC Systems Biology, March 2012
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DOI | 10.1186/1752-0509-6-15 |
Pubmed ID | |
Authors |
Min Li, Hanhui Zhang, Jian-xin Wang, Yi Pan |
Abstract |
Identification of essential proteins is always a challenging task since it requires experimental approaches that are time-consuming and laborious. With the advances in high throughput technologies, a large number of protein-protein interactions are available, which have produced unprecedented opportunities for detecting proteins' essentialities from the network level. There have been a series of computational approaches proposed for predicting essential proteins based on network topologies. However, the network topology-based centrality measures are very sensitive to the robustness of network. Therefore, a new robust essential protein discovery method would be of great value. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 2% |
United Kingdom | 2 | 2% |
Germany | 1 | <1% |
Netherlands | 1 | <1% |
Brazil | 1 | <1% |
Hungary | 1 | <1% |
Italy | 1 | <1% |
India | 1 | <1% |
Unknown | 110 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 29 | 24% |
Researcher | 24 | 20% |
Student > Bachelor | 13 | 11% |
Student > Master | 10 | 8% |
Professor | 6 | 5% |
Other | 22 | 18% |
Unknown | 16 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 41 | 34% |
Computer Science | 26 | 22% |
Biochemistry, Genetics and Molecular Biology | 16 | 13% |
Medicine and Dentistry | 3 | 3% |
Engineering | 3 | 3% |
Other | 9 | 8% |
Unknown | 22 | 18% |