Title | ||
---|---|---|
Ultra-high dimensional variable selection with application to normative aging study: DNA methylation and metabolic syndrome. |
Abstract | ||
---|---|---|
The proposed method identifies four CpGs which can be mapped to two biologically relevant and functional genes. Identification of significant CpG markers may potentially have practical implications for disease prevention and treatment. |
Year | DOI | Venue |
---|---|---|
2017 | 10.1186/s12859-017-1568-1 | BMC Bioinformatics |
Keywords | Field | DocType |
Bootstrap,ISIS,Metabolic syndrome,Ultra-high dimensional variable selection,elastic net,methylation | Gene,Feature selection,Biology,CpG site,Normative,Methylation,DNA methylation,Bioinformatics,Genetics,DNA microarray,Metabolic syndrome | Journal |
Volume | Issue | ISSN |
18 | 1 | 1471-2105 |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
14 |
Name | Order | Citations | PageRank |
---|---|---|---|
Grace Yoon | 1 | 5 | 1.01 |
Yi-nan Zheng | 2 | 9 | 3.53 |
Zhou Zhang | 3 | 5 | 1.01 |
Haixiang Zhang | 4 | 0 | 0.68 |
Tao Gao | 5 | 0 | 0.34 |
Brian Joyce | 6 | 5 | 1.01 |
Wei Zhang | 7 | 26 | 5.26 |
Weihua Guan | 8 | 0 | 0.68 |
Andrea A Baccarelli | 9 | 13 | 2.84 |
Wenxin Jiang | 10 | 0 | 0.68 |
Joel Schwartz | 11 | 0 | 0.34 |
Pantel Vokonas | 12 | 5 | 1.01 |
Lifang Hou | 13 | 0 | 0.34 |
Lei Liu | 14 | 8 | 3.51 |