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Mendeley readers
Title |
Exploring the key genes and signaling transduction pathways related to the survival time of glioblastoma multiforme patients by a novel survival analysis model
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Published in |
BMC Genomics, January 2017
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DOI | 10.1186/s12864-016-3256-3 |
Pubmed ID | |
Authors |
Yuan Xia, Chuanwei Yang, Nan Hu, Zhenzhou Yang, Xiaoyu He, Tingting Li, Le Zhang |
Abstract |
This study is to explore the key genes and signaling transduction pathways related to the survival time of glioblastoma multiforme (GBM) patients. Our results not only showed that mutually explored GBM survival time related genes and signaling transduction pathways are closely related to the GBM, but also demonstrated that our innovated constrained optimization algorithm (CoxSisLasso strategy) are better than the classical methods (CoxLasso and CoxSis strategy). We analyzed why the CoxSisLasso strategy can outperform the existing classical methods and discuss how to extend this research in the distant future. |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 23 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 8 | 35% |
Student > Postgraduate | 3 | 13% |
Researcher | 2 | 9% |
Professor > Associate Professor | 2 | 9% |
Student > Master | 1 | 4% |
Other | 2 | 9% |
Unknown | 5 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 7 | 30% |
Computer Science | 3 | 13% |
Engineering | 2 | 9% |
Unspecified | 1 | 4% |
Earth and Planetary Sciences | 1 | 4% |
Other | 3 | 13% |
Unknown | 6 | 26% |