At the interface.
- Published in:
- Genetic Epidemiology, 2020, v. 44, n. 2, p. 119, doi. 10.1002/gepi.22277
- By:
- Publication type:
- Article
Works matching IS 07410395 AND DT 2020 AND VI 44 AND IP 2
Results: 8
1
2
Multi‐ethnic analysis shows genetic risk and environmental predictors interact to influence 25(OH)D concentration and optimal vitamin D intake.
- Published in:
- Genetic Epidemiology, 2020, v. 44, n. 2, p. 208, doi. 10.1002/gepi.22272
- By:
- Publication type:
- Article
3
An efficient integrative resampling method for gene–trait association analysis.
- Published in:
- Genetic Epidemiology, 2020, v. 44, n. 2, p. 197, doi. 10.1002/gepi.22271
- By:
- Publication type:
- Article
4
Polygenic risk scores outperform machine learning methods in predicting coronary artery disease status.
- Published in:
- Genetic Epidemiology, 2020, v. 44, n. 2, p. 125, doi. 10.1002/gepi.22279
- By:
- Publication type:
- Article
5
Identification of gene–environment interactions with marginal penalization.
- Published in:
- Genetic Epidemiology, 2020, v. 44, n. 2, p. 159, doi. 10.1002/gepi.22270
- By:
- Publication type:
- Article
6
Critical evaluation of copy number variant calling methods using DNA methylation.
- Published in:
- Genetic Epidemiology, 2020, v. 44, n. 2, p. 148, doi. 10.1002/gepi.22269
- By:
- Publication type:
- Article
7
A flexible and nearly optimal sequential testing approach to randomized testing: QUICK‐STOP.
- Published in:
- Genetic Epidemiology, 2020, v. 44, n. 2, p. 139, doi. 10.1002/gepi.22268
- By:
- Publication type:
- Article
8
Issue Information.
- Published in:
- Genetic Epidemiology, 2020, v. 44, n. 2, p. 117, doi. 10.1002/gepi.22221
- Publication type:
- Article