| Title |
Multiscale modeling of the causal functional roles of nsSNPs in a genome-wide association study: application to hypoxia
|
|---|---|
| Published in |
BMC Genomics, May 2013
|
| DOI | 10.1186/1471-2164-14-s3-s9 |
| Pubmed ID | |
| Authors |
Li Xie, Clara Ng, Thahmina Ali, Raoul Valencia, Barbara L Ferreira, Vincent Xue, Maliha Tanweer, Dan Zhou, Gabriel G Haddad, Philip E Bourne, Lei Xie |
| Abstract |
It is a great challenge of modern biology to determine the functional roles of non-synonymous Single Nucleotide Polymorphisms (nsSNPs) on complex phenotypes. Statistical and machine learning techniques establish correlations between genotype and phenotype, but may fail to infer the biologically relevant mechanisms. The emerging paradigm of Network-based Association Studies aims to address this problem of statistical analysis. However, a mechanistic understanding of how individual molecular components work together in a system requires knowledge of molecular structures, and their interactions. |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 3% |
| Austria | 1 | 3% |
| Saudi Arabia | 1 | 3% |
| Unknown | 35 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 26% |
| Student > Ph. D. Student | 7 | 18% |
| Professor > Associate Professor | 5 | 13% |
| Student > Bachelor | 4 | 11% |
| Student > Master | 3 | 8% |
| Other | 5 | 13% |
| Unknown | 4 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 42% |
| Computer Science | 5 | 13% |
| Engineering | 3 | 8% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Social Sciences | 2 | 5% |
| Other | 4 | 11% |
| Unknown | 6 | 16% |