Ontology highlight
ABSTRACT:
SUBMITTER: Akter S
PROVIDER: S-EPMC7233069 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
Akter Sadia S Xu Dong D Nagel Susan C SC Bromfield John J JJ Pelch Katherine E KE Wilshire Gilbert B GB Joshi Trupti T
AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science 20200530
Endometriosis is a complex and high impact disease affecting 176 million women worldwide with diagnostic latency between 4 to 11 years due to lack of a definitive clinical symptom or a minimally invasive diagnostic method. In this study, we developed a new ensemble machine learning classifier based on chromosomal partitioning, named GenomeForest and applied it in classifying the endometriosis vs. the control patients using 38 RNA-seq and 80 enrichment-based DNA-methylation (MBD-seq) datasets, an ...[more]