Genomics

Dataset Information

0

Nasal DNA methylation at three CpG sites predicts childhood allergic disease


ABSTRACT: We used machine learning models to systematically integrate large-scale multi-omics data from genomics, DNA methylation in blood, and nasal and environmental factors. We firstly evaluated the prediction power of each omics layer and identified that the prediction power was largely attributed to nasal methylation. We further built a prediction model based on only three nasal CpG sites that can predict childhood allergic disease.

PROVIDER: EGAS00001005189 | EGA |

REPOSITORIES: EGA

Similar Datasets

| EGAD00010002263 | EGA
2015-01-16 | E-GEOD-43523 | biostudies-arrayexpress
2015-01-16 | GSE43523 | GEO
2018-07-31 | GSE92975 | GEO
| EGAD00001008767 | EGA
2018-06-01 | GSE100386 | GEO
2022-05-31 | GSE202100 | GEO
2021-03-17 | ST001734 | MetabolomicsWorkbench
2021-03-17 | ST001733 | MetabolomicsWorkbench
2015-11-01 | E-GEOD-65163 | biostudies-arrayexpress